| { | |
| "architectures": [ | |
| "DeepseekV32ForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "eos_token_id": 1, | |
| "ep_size": 1, | |
| "first_k_dense_replace": 3, | |
| "hidden_act": "silu", | |
| "hidden_size": 7168, | |
| "index_head_dim": 128, | |
| "index_n_heads": 64, | |
| "index_topk": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 18432, | |
| "kv_lora_rank": 512, | |
| "max_position_embeddings": 163840, | |
| "model_type": "deepseek_v32", | |
| "moe_intermediate_size": 2048, | |
| "moe_layer_freq": 1, | |
| "n_group": 8, | |
| "n_routed_experts": 256, | |
| "n_shared_experts": 1, | |
| "norm_topk_prob": true, | |
| "num_attention_heads": 128, | |
| "num_experts_per_tok": 8, | |
| "num_hidden_layers": 61, | |
| "num_key_value_heads": 128, | |
| "num_nextn_predict_layers": 1, | |
| "q_lora_rank": 1536, | |
| "qk_nope_head_dim": 128, | |
| "qk_rope_head_dim": 64, | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 4, | |
| "mode": "affine", | |
| "model.embed_tokens": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.0.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.0.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.1.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.1.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.1.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.2.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.2.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.2.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.3.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.3.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.3.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.3.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.4.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.4.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.4.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.4.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.5.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.5.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.5.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.5.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.6.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.6.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.6.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.6.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.7.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.9.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.9.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.9.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.10.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.12.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.12.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.12.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.13.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.15.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.15.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.15.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.16.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.18.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.18.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.18.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.19.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.21.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.21.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.21.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.22.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.24.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.24.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.24.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.25.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.27.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.27.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.27.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.28.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.30.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.30.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.30.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.31.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.33.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.33.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.33.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.34.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.36.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.36.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.36.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.37.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.39.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.39.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.39.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.40.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.42.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.42.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.42.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.43.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.45.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.45.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.45.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.46.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.48.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.48.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.48.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.49.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.51.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.51.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.51.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.52.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.53.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.53.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.53.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.54.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.54.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.54.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.54.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.55.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.55.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.55.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.55.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.56.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.56.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.56.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.56.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.57.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.57.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.57.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.57.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.58.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.58.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.58.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.58.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.59.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.59.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.59.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.59.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.60.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.60.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.60.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.60.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "lm_head": { | |
| "group_size": 64, | |
| "bits": 6 | |
| } | |
| }, | |
| "quantization_config": { | |
| "group_size": 64, | |
| "bits": 4, | |
| "mode": "affine", | |
| "model.embed_tokens": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.0.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.0.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.0.mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.1.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.1.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.1.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.1.mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.2.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.2.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.2.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.2.mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.3.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.3.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.3.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.3.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.4.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.4.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.4.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.4.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.5.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.5.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.5.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.5.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.6.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.6.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.6.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.6.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.7.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.9.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.9.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.9.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.10.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.12.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.12.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.12.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.13.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.15.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.15.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.15.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.16.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.18.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.18.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.18.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.19.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.21.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.21.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.21.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.22.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.24.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.24.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.24.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.25.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.27.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.27.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.27.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.28.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.30.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.30.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.30.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.31.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.33.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.33.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.33.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.34.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.36.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.36.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.36.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.37.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.39.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.39.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.39.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.40.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.42.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.42.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.42.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.43.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.45.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.45.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.45.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.45.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.46.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.46.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.47.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.48.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.48.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.48.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.48.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.49.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.49.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.50.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.51.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.51.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.51.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.51.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.52.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.52.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.53.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.53.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.53.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.53.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.54.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.54.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.54.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.54.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.54.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.55.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.55.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.55.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.55.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.55.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.56.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.56.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.56.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.56.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.56.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.57.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.57.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.57.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.57.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.57.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.58.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.58.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.58.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.58.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.58.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.59.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.59.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.59.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.59.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.59.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.60.self_attn.q_a_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.self_attn.q_b_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.60.self_attn.kv_b_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.60.self_attn.o_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.self_attn.indexer.wq_b": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.self_attn.indexer.wk": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.self_attn.indexer.weights_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.mlp.switch_mlp.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.mlp.switch_mlp.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.mlp.switch_mlp.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "model.layers.60.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.60.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 6 | |
| }, | |
| "lm_head": { | |
| "group_size": 64, | |
| "bits": 6 | |
| } | |
| }, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": { | |
| "beta_fast": 32, | |
| "beta_slow": 1, | |
| "factor": 40, | |
| "mscale": 1.0, | |
| "mscale_all_dim": 1.0, | |
| "original_max_position_embeddings": 4096, | |
| "type": "yarn" | |
| }, | |
| "rope_theta": 10000, | |
| "routed_scaling_factor": 2.5, | |
| "scoring_func": "sigmoid", | |
| "tie_word_embeddings": false, | |
| "topk_group": 4, | |
| "topk_method": "noaux_tc", | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.44.2", | |
| "use_cache": true, | |
| "v_head_dim": 128, | |
| "vocab_size": 129280 | |
| } |