update weights from bf16 to fp32
Browse files- config.json +1 -1
- model-00001-of-00004.safetensors → model-00001-of-00007.safetensors +2 -2
- model-00002-of-00004.safetensors → model-00002-of-00007.safetensors +2 -2
- model-00003-of-00004.safetensors → model-00003-of-00007.safetensors +2 -2
- model-00004-of-00004.safetensors → model-00004-of-00007.safetensors +2 -2
- model-00005-of-00007.safetensors +3 -0
- model-00006-of-00007.safetensors +3 -0
- model-00007-of-00007.safetensors +3 -0
- model.safetensors.index.json +0 -0
- model.yaml +471 -0
config.json
CHANGED
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@@ -433,7 +433,7 @@
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}
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},
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"tie_word_embeddings": false,
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-
"torch_dtype": "
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"transformers_version": "4.52.3",
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"use_cache": true,
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"vit_config": {
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}
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},
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"tie_word_embeddings": false,
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+
"torch_dtype": "float32",
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"transformers_version": "4.52.3",
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"use_cache": true,
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"vit_config": {
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model-00001-of-00004.safetensors → model-00001-of-00007.safetensors
RENAMED
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model-00002-of-00004.safetensors → model-00002-of-00007.safetensors
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size 4778633920
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model-00003-of-00004.safetensors → model-00003-of-00007.safetensors
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model-00004-of-00004.safetensors → model-00004-of-00007.safetensors
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size 4661160192
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model-00005-of-00007.safetensors
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model-00006-of-00007.safetensors
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model-00007-of-00007.safetensors
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size 3739371680
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model.safetensors.index.json
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The diff for this file is too large to render.
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model.yaml
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| 1 |
+
model_name: molmo
|
| 2 |
+
llm:
|
| 3 |
+
d_model: 3584
|
| 4 |
+
n_heads: 28
|
| 5 |
+
n_kv_heads: 4
|
| 6 |
+
head_dim: null
|
| 7 |
+
qkv_bias: true
|
| 8 |
+
clip_qkv: null
|
| 9 |
+
n_layers: 28
|
| 10 |
+
mlp_ratio: 4
|
| 11 |
+
mlp_hidden_size: 37888
|
| 12 |
+
activation_type: swiglu
|
| 13 |
+
block_type: sequential
|
| 14 |
+
rope: true
|
| 15 |
+
rope_full_precision: true
|
| 16 |
+
rope_theta: 1000000.0
|
| 17 |
+
rope_type: default
|
| 18 |
+
rope_factor: null
|
| 19 |
+
rope_high_freq_factor: null
|
| 20 |
+
rope_low_freq_factor: null
|
| 21 |
+
rope_original_max_position_embeddings: null
|
| 22 |
+
attention_type: sdpa
|
| 23 |
+
float32_attention: true
|
| 24 |
+
attention_dropout: 0.0
|
| 25 |
+
attention_layer_norm: false
|
| 26 |
+
attention_layer_norm_type: olmo
|
| 27 |
+
residual_dropout: 0.1
|
| 28 |
+
response_residual_dropout: 0.0
|
| 29 |
+
layer_norm_type: rms
|
| 30 |
+
layer_norm_with_affine: true
|
| 31 |
+
layer_norm_eps: 1.0e-06
|
| 32 |
+
attention_layer_norm_with_affine: true
|
| 33 |
+
max_sequence_length: 4096
|
| 34 |
+
max_position_embeddings: null
|
| 35 |
+
include_bias: false
|
| 36 |
+
bias_for_layer_norm: null
|
| 37 |
+
norm_after: false
|
| 38 |
+
moe_num_experts: 8
|
| 39 |
+
moe_top_k: 2
|
| 40 |
+
moe_mlp_impl: sparse
|
| 41 |
+
moe_log_expert_assignment: false
|
| 42 |
+
moe_shared_expert: false
|
| 43 |
+
moe_lbl_in_fp32: false
|
| 44 |
+
moe_interleave: false
|
| 45 |
+
moe_loss_weight: 0.1
|
| 46 |
+
moe_zloss_weight: null
|
| 47 |
+
moe_dropless: true
|
| 48 |
+
moe_capacity_factor: 1.25
|
| 49 |
+
embedding_dropout: 0.0
|
| 50 |
+
scale_logits: false
|
| 51 |
+
vocab_size: 152064
|
| 52 |
+
additional_vocab_size: 128
|
| 53 |
+
weight_tying: false
|
| 54 |
+
embedding_size: 152064
|
| 55 |
+
use_position_ids: true
|
| 56 |
+
tokenizer:
|
| 57 |
+
identifier: Qwen/Qwen2.5-7B
|
| 58 |
+
tokenizer_dir: null
|
| 59 |
+
depth_tokens: true
|
| 60 |
+
init_path: gs://mm-olmo/pretrained_llms/qwen2.5-7b.pt
|
| 61 |
+
init_incremental: null
|
| 62 |
+
new_embedding_init_range: 0.02
|
| 63 |
+
initializer_range: 0.02
|
| 64 |
+
normalize_input_embeds: false
|
| 65 |
+
activation_checkpoint: whole_layer
|
| 66 |
+
compile: blocks
|
| 67 |
+
fix_pad_tokenizer: false
|
| 68 |
+
resize_vocab: false
|
| 69 |
+
init_std: 0.02
|
| 70 |
+
init_fn: normal
|
| 71 |
+
init_cutoff_factor: null
|
| 72 |
+
vision_backbone:
|
| 73 |
+
vit:
|
| 74 |
+
image_model_type: siglip
|
| 75 |
+
image_default_input_size:
|
| 76 |
+
- 378
|
| 77 |
+
- 378
|
| 78 |
+
image_patch_size: 14
|
| 79 |
+
image_pos_patch_size: 14
|
| 80 |
+
image_emb_dim: 1152
|
| 81 |
+
image_num_heads: 16
|
| 82 |
+
image_num_key_value_heads: 16
|
| 83 |
+
image_num_layers: 27
|
| 84 |
+
image_head_dim: 72
|
| 85 |
+
image_mlp_dim: 4304
|
| 86 |
+
image_mlp_activations: gelu_pytorch_tanh
|
| 87 |
+
image_dropout_rate: 0.0
|
| 88 |
+
image_num_pos: 729
|
| 89 |
+
image_norm_eps: 1.0e-06
|
| 90 |
+
attention_dropout: 0.0
|
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