upload checkpoint

README.md

@@ -0,0 +1,224 @@
+---
+language:
+- en
+library_name: transformers
+tags:
+- glm
+- MOE
+- pruning
+- compression
+license: mit
+name: cerebras/GLM-4.6-REAP-252B-A32B-FP8
+description: >
+  This model was obtained by uniformly pruning 30% of experts in GLM-4.6-FP8 using the REAP method.
+readme: >
+  https://huggingface.co/cerebras/GLM-4.6-REAP-252B-A32B-FP8/main/README.md
+license_link: https://huggingface.co/zai-org/GLM-4.6-FP8/blob/main/LICENSE
+pipeline_tag: text-generation
+base_model:
+- zai-org/GLM-4.6-FP8
+---
+
+<p align="center">
+  <em>𓌳 <strong>REAP</strong>𓌳  the Experts: Why Pruning Prevails for One-Shot MoE Compression</em><br>
+  <img src="https://i.imgur.com/rmzG3gg.png" alt="REAP" width="75%">
+</p>
+
+# GLM-4.6-REAP-252B-A32B-FP8
+
+## ✨ Highlights
+
+Introducing **GLM-4.6-REAP-252B-A32B-FP8**, a **memory-efficient compressed variant** of GLM-4.6-FP8 that maintains near-identical performance while being **30% lighter**.
+
+This model was created using **REAP (Router-weighted Expert Activation Pruning)**, a novel expert pruning method that selectively removes redundant experts while preserving the router's independent control over remaining experts. Key features include:
+
+- **Near-Lossless Performance**: Maintains almost identical accuracy on code generation, agentic coding, and function calling tasks compared to the full 355B model
+- **30% Memory Reduction**: Compressed from 355B to 252B parameters, significantly lowering deployment costs and memory requirements
+- **Preserved Capabilities**: Retains all core functionalities including code generation, agentic workflows, repository-scale understanding, and function calling
+- **Drop-in Compatibility**: Works with vanilla vLLM - no source modifications or custom patches required
+- **Optimized for Real-World Use**: Particularly effective for resource-constrained environments, local deployments, and academic research
+
+**For downstream low-bit quantization, we suggest using the [BF16 variant](https://huggingface.co/cerebras/GLM-4.6-REAP-252B-A32B).**
+
+---
+## 📋 Model Overview
+
+**GLM-4.6-REAP-252B-A32B-FP8** has the following specifications:
+
+- **Base Model**: GLM-4.6-FP8
+- **Compression Method**: REAP (Router-weighted Expert Activation Pruning)
+- **Compression Ratio**: 30% expert pruning
+- **Type**: Sparse Mixture-of-Experts (SMoE) Causal Language Model
+- **Number of Parameters**: 252B total, 32B activated per token
+- **Number of Layers**: 92
+- **Number of Attention Heads (GQA)**: 96 for Q and 8 for KV
+- **Number of Experts**: 112 (uniformly pruned from 160)
+- **Number of Activated Experts**: 8 per token
+- **Context Length**: 202,752 tokens
+- **License**: MIT
+
+---
+
+## 📊 Evaluations
+
+<table>
+  <thead>
+    <tr>
+      <th align="left">Benchmark</th>
+      <th align="center">GLM-4.6-FP8</th>
+      <th align="center"><a href="https://huggingface.co/cerebras/GLM-4.6-REAP-268B-A32B-FP8">GLM-4.6-REAP-268B-A32B-FP8</a></th>
+      <th align="center"><a href="https://huggingface.co/cerebras/GLM-4.6-REAP-252B-A32B-FP8">GLM-4.6-REAP-252B-A32B-FP8</a></th>
+      <th align="center"><a href="https://huggingface.co/cerebras/GLM-4.6-REAP-218B-A32B-FP8">GLM-4.6-REAP-218B-A32B-FP8</a></th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td><strong>Compression</strong></td>
+      <td align="center">—</td>
+      <td align="center">25%</td>
+      <td align="center">30%</td>
+      <td align="center">40%</td>
+    </tr>
+    <tr>
+      <td colspan="5" align="center"><strong>Coding</strong></td>
+    </tr>
+    <tr>
+      <td><strong>HumanEval</strong></td>
+      <td align="center">96.3</td>
+      <td align="center">96.3</td>
+      <td align="center">95.7</td>
+      <td align="center">95.1</td>
+    </tr>
+    <tr>
+      <td><strong>HumanEval+</strong></td>
+      <td align="center">93.3</td>
+      <td align="center">91.5</td>
+      <td align="center">90.9</td>
+      <td align="center">90.2</td>
+    </tr>
+    <tr>
+      <td><strong>MBPP</strong></td>
+      <td align="center">87.6</td>
+      <td align="center">89.9</td>
+      <td align="center">89.9</td>
+      <td align="center">89.4</td>
+    </tr>
+    <tr>
+      <td><strong>MBPP+</strong></td>
+      <td align="center">73.5</td>
+      <td align="center">74.9</td>
+      <td align="center">73.5</td>
+      <td align="center">73.8</td>
+    </tr>
+    <tr>
+      <td colspan="5" align="center"><strong>Reasoning</strong></td>
+    </tr>
+    <tr>
+      <td><strong>GPQA diamond</strong> (thinking)</td>
+      <td align="center">78.8</td>
+      <td align="center">76.8</td>
+      <td align="center">75.8</td>
+      <td align="center">69.7</td>
+    </tr>
+    <tr>
+      <td><strong>AIME25</strong> (thinking)</td>
+      <td align="center">90.0</td>
+      <td align="center">93.3</td>
+      <td align="center">90.0</td>
+      <td align="center">90.0</td>
+    </tr>
+    <tr>
+      <td><strong>MATH-500</strong> (thinking)</td>
+      <td align="center">95.5</td>
+      <td align="center">97.0</td>
+      <td align="center">94.8</td>
+      <td align="center">93.3</td>
+    </tr>
+    <tr>
+      <td colspan="5" align="center"><strong>Tool Calling</strong></td>
+    </tr>
+    <tr>
+      <td><strong>BFCL-v3</strong> (thinking)</td>
+      <td align="center">78.4</td>
+      <td align="center">77.3</td>
+      <td align="center">76.8</td>
+      <td align="center">74.2</td>
+    </tr>
+  </tbody>
+</table>
+
+
+🟩 *This checkpoint maintains almost identical performance while being 30% lighter.*
+
+For more details on the evaluation setup, refer to the [REAP arXiv preprint](https://arxiv.org/abs/2510.13999).
+
+---
+
+## 🚀 Deployment
+
+You can deploy the model directly using the **latest vLLM** (v0.11.0), no source modifications or custom patches required.
+
+```bash
+vllm serve cerebras/GLM-4.6-REAP-252B-A32B-FP8 \
+    --tensor-parallel-size 8 \
+    --tool-call-parser glm45 \
+    --enable-auto-tool-choice \
+    --enable-expert-parallel
+```
+
+If you encounter insufficient memory when running this model, you might need to set a lower value for `--max-num-seqs` flag (e.g. set to 64).
+
+
+## 🧩 Model Creation
+
+This checkpoint was created by applying the **REAP (Router-weighted Expert Activation Pruning)** method uniformly across all Mixture-of-Experts (MoE) blocks of **GLM-4.6-FP8**, with a **30% pruning rate**.
+
+### How REAP Works
+
+REAP selects experts to prune based on a novel **saliency criterion** that considers both:
+- **Router gate values**: How frequently and strongly the router activates each expert
+- **Expert activation norms**: The magnitude of each expert's output contributions
+
+This dual consideration ensures that experts contributing minimally to the layer's output are pruned, while preserving those that play critical roles in the model's computations.
+
+### Key Advantages
+
+- **One-Shot Compression**: No fine-tuning required after pruning - the model is immediately ready for deployment
+- **Preserved Router Control**: Unlike expert merging methods, REAP maintains the router's independent, input-dependent control over remaining experts, avoiding "functional subspace collapse"
+- **Generative Task Superiority**: REAP significantly outperforms expert merging approaches on generative benchmarks (code generation, creative writing, mathematical reasoning) while maintaining competitive performance on discriminative tasks
+
+### Calibration
+
+The model was calibrated using a diverse mixture of domain-specific datasets including:
+- Code generation samples ([evol-codealpaca](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1))
+- Function calling examples ([xlam-function-calling](https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k))
+- Agentic multi-turn trajectories ([SWE-smith-trajectories](https://huggingface.co/datasets/SWE-bench/SWE-smith-trajectories))
+
+📚 For more details, refer to the following resources:
+
+- [🧾 arXiv Preprint](https://arxiv.org/abs/2510.13999)
+- [🧾 REAP Blog](https://www.cerebras.ai/blog/reap)
+- [💻 REAP Codebase (GitHub)](https://github.com/CerebrasResearch/reap)
+
+---
+
+## ⚖️ License
+
+This model is derived from
+**[`zai-org/GLM-4.6-FP8`](https://huggingface.co/zai-org/GLM-4.6-FP8)**
+and distributed under the **MIT license**.
+
+---
+
+## 🧾 Citation
+
+If you use this checkpoint, please cite the REAP paper:
+
+```bibtex
+@article{lasby-reap,
+  title={REAP the Experts: Why Pruning Prevails for One-Shot MoE compression},
+  author={Lasby, Mike and Lazarevich, Ivan and Sinnadurai, Nish and Lie, Sean and Ioannou, Yani and Thangarasa, Vithursan},
+  journal={arXiv preprint arXiv:2510.13999},
+  year={2025}
+}
+```

chat_template.jinja

@@ -0,0 +1,103 @@
+[gMASK]<sop>
+{%- if tools -%}
+<|system|>
+# Tools
+
+You may call one or more functions to assist with the user query.
+
+You are provided with function signatures within <tools></tools> XML tags:
+<tools>
+{% for tool in tools %}
+{{ tool | tojson(ensure_ascii=False) }}
+{% endfor %}
+</tools>
+
+For each function call, output the function name and arguments within the following XML format:
+<tool_call>{function-name}
+<arg_key>{arg-key-1}</arg_key>
+<arg_value>{arg-value-1}</arg_value>
+<arg_key>{arg-key-2}</arg_key>
+<arg_value>{arg-value-2}</arg_value>
+...
+</tool_call>{%- endif -%}
+{%- macro visible_text(content) -%}
+    {%- if content is string -%}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping -%}
+        {%- for item in content -%}
+            {%- if item is mapping and item.type == 'text' -%}
+                {{- item.text }}
+            {%- elif item is string -%}
+                {{- item }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{- content }}
+    {%- endif -%}
+{%- endmacro -%}
+{%- set ns = namespace(last_user_index=-1) %}
+{%- for m in messages %}
+    {%- if m.role == 'user' %}
+        {% set ns.last_user_index = loop.index0 -%}
+    {%- endif %}
+{%- endfor %}
+{% for m in messages %}
+{%- if m.role == 'user' -%}<|user|>
+{{ visible_text(m.content) }}
+{{- '/nothink' if (enable_thinking is defined and not enable_thinking and not visible_text(m.content).endswith("/nothink")) else '' -}}
+{%- elif m.role == 'assistant' -%}
+<|assistant|>
+{%- set reasoning_content = '' %}
+{%- set content = visible_text(m.content) %}
+{%- if m.reasoning_content is string %}
+    {%- set reasoning_content = m.reasoning_content %}
+{%- else %}
+    {%- if '</think>' in content %}
+        {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+        {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+    {%- endif %}
+{%- endif %}
+{%- if loop.index0 > ns.last_user_index and reasoning_content -%}
+{{ '\n<think>' + reasoning_content.strip() +  '</think>'}}
+{%- else -%}
+{{ '\n<think></think>' }}
+{%- endif -%}
+{%- if content.strip() -%}
+{{ '\n' + content.strip() }}
+{%- endif -%}
+{% if m.tool_calls %}
+{% for tc in m.tool_calls %}
+{%- if tc.function %}
+    {%- set tc = tc.function %}
+{%- endif %}
+{{ '\n<tool_call>' + tc.name }}
+{% set _args = tc.arguments %}
+{% for k, v in _args.items() %}
+<arg_key>{{ k }}</arg_key>
+<arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>
+{% endfor %}
+</tool_call>{% endfor %}
+{% endif %}
+{%- elif m.role == 'tool' -%}
+{%- if m.content is string -%}
+{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+    {{- '<|observation|>' }}
+{%- endif %}
+{{- '\n<tool_response>\n' }}
+{{- m.content }}
+{{- '\n</tool_response>' }}
+{%- else -%}
+<|observation|>{% for tr in m.content %}
+
+<tool_response>
+{{ tr.output if tr.output is defined else tr }}
+</tool_response>{% endfor -%}
+{% endif -%}
+{%- elif m.role == 'system' -%}
+<|system|>
+{{ visible_text(m.content) }}
+{%- endif -%}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    <|assistant|>{{- '\n<think></think>' if (enable_thinking is defined and not enable_thinking) else '' -}}
+{%- endif -%}

config.json

@@ -0,0 +1,924 @@
+{
+  "architectures": [
+    "Glm4MoeForCausalLM"
+  ],
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "eos_token_id": [
+    151329,
+    151336,
+    151338
+  ],
+  "first_k_dense_replace": 3,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "max_position_embeddings": 202752,
+  "model_type": "glm4_moe",
+  "moe_intermediate_size": 1536,
+  "n_group": 1,
+  "n_routed_experts": 112,
+  "n_shared_experts": 1,
+  "norm_topk_prob": true,
+  "num_attention_heads": 96,
+  "num_experts_per_tok": 8,
+  "num_hidden_layers": 92,
+  "num_key_value_heads": 8,
+  "num_nextn_predict_layers": 0,
+  "pad_token_id": 151329,
+  "partial_rotary_factor": 0.5,
+  "quantization_config": {
+    "config_groups": {
+      "group_0": {
+        "input_activations": {
+          "actorder": null,
+          "block_structure": null,
+          "dynamic": true,
+          "group_size": null,
+          "num_bits": 8,
+          "observer": null,
+          "observer_kwargs": {},
+          "strategy": "token",
+          "symmetric": true,
+          "type": "float"
+        },
+        "output_activations": null,
+        "targets": [
+          "Linear"
+        ],
+        "weights": {
+          "actorder": null,
+          "block_structure": null,
+          "dynamic": false,
+          "group_size": null,
+          "num_bits": 8,
+          "observer": "minmax",
+          "observer_kwargs": {},
+          "strategy": "channel",
+          "symmetric": true,
+          "type": "float"
+        }
+      }
+    },
+    "format": "float-quantized",
+    "global_compression_ratio": null,
+    "ignore": [
+      "model.layers.12.input_layernorm",
+      "model.layers.48.input_layernorm",
+      "model.layers.74.input_layernorm",
+      "model.layers.5.self_attn.q_norm",
+      "model.layers.11.self_attn.k_proj.bias",
+      "model.layers.3.self_attn.k_proj.bias",
+      "model.layers.53.self_attn.q_norm",
+      "model.layers.52.mlp.gate",
+      "model.layers.29.mlp.gate.e_score_correction_bias",
+      "model.layers.34.post_attention_layernorm",
+      "model.layers.88.post_attention_layernorm",
+      "model.layers.17.input_layernorm",
+      "model.layers.37.self_attn.k_norm",
+      "model.layers.9.mlp.gate.e_score_correction_bias",
+      "model.layers.17.self_attn.v_proj.bias",
+      "model.layers.82.self_attn.q_norm",
+      "model.layers.41.mlp.gate",
+      "model.layers.73.input_layernorm",
+      "model.layers.72.input_layernorm",
+      "model.layers.61.post_attention_layernorm",
+      "model.layers.30.input_layernorm",
+      "model.layers.80.mlp.gate",
+      "model.layers.14.input_layernorm",
+      "model.layers.45.self_attn.k_norm",
+      "model.layers.55.mlp.gate",
+      "model.layers.9.input_layernorm",
+      "model.layers.13.input_layernorm",
+      "model.layers.47.self_attn.q_proj.bias",
+      "model.layers.84.post_attention_layernorm",
+      "model.layers.85.self_attn.q_norm",
+      "model.layers.53.self_attn.v_proj.bias",
+      "model.layers.83.self_attn.v_proj.bias",
+      "model.layers.35.self_attn.v_proj.bias",
+      "model.layers.76.mlp.gate.e_score_correction_bias",
+      "model.layers.36.input_layernorm",
+      "model.layers.13.post_attention_layernorm",
+      "model.layers.71.self_attn.k_proj.bias",
+      "model.layers.84.mlp.gate.e_score_correction_bias",
+      "model.layers.46.self_attn.k_norm",
+      "model.layers.50.self_attn.q_norm",
+      "model.layers.59.self_attn.q_proj.bias",
+      "model.layers.5.input_layernorm",
+      "model.layers.29.mlp.gate",
+      "model.layers.73.self_attn.q_norm",
+      "model.layers.27.mlp.gate",
+      "model.layers.49.post_attention_layernorm",
+      "model.layers.63.self_attn.q_proj.bias",
+      "model.layers.7.self_attn.q_proj.bias",
+      "model.layers.5.self_attn.k_proj.bias",
+      "model.layers.70.self_attn.q_proj.bias",
+      "model.layers.70.self_attn.k_norm",
+      "model.layers.15.self_attn.q_proj.bias",
+      "model.layers.59.self_attn.q_norm",
+      "model.layers.89.self_attn.k_proj.bias",
+      "model.layers.89.self_attn.q_norm",
+      "model.layers.42.mlp.gate.e_score_correction_bias",
+      "model.layers.62.self_attn.q_norm",
+      "model.layers.18.input_layernorm",
+      "model.layers.79.post_attention_layernorm",
+      "model.layers.63.self_attn.k_norm",
+      "model.layers.58.input_layernorm",
+      "model.layers.57.mlp.gate",
+      "model.layers.32.self_attn.q_norm",
+      "model.layers.34.self_attn.v_proj.bias",
+      "model.layers.83.self_attn.k_proj.bias",
+      "model.layers.7.input_layernorm",
+      "model.layers.72.self_attn.k_norm",
+      "model.layers.55.self_attn.v_proj.bias",
+      "model.layers.2.self_attn.k_proj.bias",
+      "model.layers.23.post_attention_layernorm",
+      "model.layers.60.post_attention_layernorm",
+      "model.layers.33.self_attn.k_proj.bias",
+      "model.layers.85.self_attn.k_proj.bias",
+      "model.layers.83.mlp.gate.e_score_correction_bias",
+      "model.layers.20.self_attn.k_proj.bias",
+      "model.layers.11.mlp.gate",
+      "model.layers.82.input_layernorm",
+      "model.layers.83.self_attn.q_norm",
+      "model.layers.9.post_attention_layernorm",
+      "model.layers.55.mlp.gate.e_score_correction_bias",
+      "model.layers.21.mlp.gate",
+      "model.layers.41.mlp.gate.e_score_correction_bias",
+      "model.layers.10.mlp.gate.e_score_correction_bias",
+      "model.layers.49.mlp.gate",
+      "model.layers.56.self_attn.k_norm",
+      "model.layers.86.self_attn.q_norm",
+      "model.layers.89.input_layernorm",
+      "model.layers.16.input_layernorm",
+      "model.layers.25.mlp.gate.e_score_correction_bias",
+      "model.layers.8.self_attn.k_norm",
+      "model.layers.72.post_attention_layernorm",
+      "model.layers.92.self_attn.q_norm",
+      "model.layers.73.post_attention_layernorm",
+      "model.layers.71.mlp.gate.e_score_correction_bias",
+      "model.layers.42.input_layernorm",
+      "model.layers.25.self_attn.k_norm",
+      "model.layers.50.self_attn.q_proj.bias",
+      "model.layers.13.self_attn.k_norm",
+      "model.layers.65.mlp.gate.e_score_correction_bias",
+      "model.layers.9.self_attn.k_norm",
+      "model.layers.3.input_layernorm",
+      "model.layers.90.self_attn.q_proj.bias",
+      "model.layers.35.self_attn.q_norm",
+      "model.layers.74.mlp.gate",
+      "model.layers.21.self_attn.k_norm",
+      "model.layers.92.mlp.gate",
+      "model.layers.15.mlp.gate.e_score_correction_bias",
+      "model.layers.61.self_attn.k_proj.bias",
+      "model.layers.63.self_attn.q_norm",
+      "model.layers.73.self_attn.q_proj.bias",
+      "model.layers.18.self_attn.q_norm",
+      "model.layers.45.mlp.gate",
+      "model.layers.52.self_attn.v_proj.bias",
+      "model.layers.22.post_attention_layernorm",
+      "model.layers.85.self_attn.q_proj.bias",
+      "model.layers.3.self_attn.k_norm",
+      "model.layers.54.self_attn.v_proj.bias",
+      "model.layers.79.self_attn.v_proj.bias",
+      "model.layers.31.self_attn.q_proj.bias",
+      "model.layers.2.input_layernorm",
+      "model.layers.57.self_attn.q_norm",
+      "model.layers.65.self_attn.k_norm",
+      "model.layers.60.input_layernorm",
+      "model.layers.70.self_attn.v_proj.bias",
+      "model.layers.87.post_attention_layernorm",
+      "model.layers.83.post_attention_layernorm",
+      "model.layers.51.self_attn.k_proj.bias",
+      "model.layers.23.self_attn.k_norm",
+      "model.layers.49.self_attn.k_norm",
+      "model.layers.76.self_attn.k_proj.bias",
+      "model.layers.7.self_attn.q_norm",
+      "model.layers.54.mlp.gate",
+      "model.layers.63.post_attention_layernorm",
+      "model.layers.27.self_attn.k_proj.bias",
+      "model.layers.81.input_layernorm",
+      "model.layers.66.post_attention_layernorm",
+      "model.layers.84.self_attn.q_proj.bias",
+      "model.layers.36.self_attn.k_proj.bias",
+      "model.layers.30.self_attn.v_proj.bias",
+      "model.layers.48.self_attn.k_norm",
+      "model.layers.62.mlp.gate",
+      "model.layers.8.mlp.gate",
+      "model.layers.11.mlp.gate.e_score_correction_bias",
+      "model.layers.28.mlp.gate",
+      "model.layers.30.mlp.gate.e_score_correction_bias",
+      "model.layers.43.input_layernorm",
+      "model.layers.3.self_attn.q_proj.bias",
+      "model.layers.88.input_layernorm",
+      "model.layers.5.post_attention_layernorm",
+      "model.layers.35.self_attn.k_norm",
+      "model.layers.56.post_attention_layernorm",
+      "model.layers.30.mlp.gate",
+      "model.layers.67.self_attn.q_proj.bias",
+      "model.layers.58.post_attention_layernorm",
+      "model.layers.80.post_attention_layernorm",
+      "model.layers.88.self_attn.v_proj.bias",
+      "model.layers.90.self_attn.v_proj.bias",
+      "model.layers.2.self_attn.k_norm",
+      "model.layers.67.mlp.gate.e_score_correction_bias",
+      "model.layers.31.input_layernorm",
+      "model.layers.26.post_attention_layernorm",
+      "model.layers.81.self_attn.k_proj.bias",
+      "model.layers.51.self_attn.q_norm",
+      "model.layers.7.self_attn.k_proj.bias",
+      "model.layers.76.self_attn.q_proj.bias",
+      "model.layers.1.self_attn.k_norm",
+      "model.layers.34.mlp.gate.e_score_correction_bias",
+      "model.layers.80.self_attn.k_proj.bias",
+      "model.layers.0.self_attn.k_norm",
+      "model.layers.44.self_attn.q_norm",
+      "model.layers.29.input_layernorm",
+      "model.layers.77.self_attn.v_proj.bias",
+      "model.layers.73.mlp.gate",
+      "model.layers.31.self_attn.v_proj.bias",
+      "model.layers.46.self_attn.q_proj.bias",
+      "model.layers.62.self_attn.k_norm",
+      "model.layers.87.self_attn.k_proj.bias",
+      "model.layers.58.self_attn.k_norm",
+      "model.layers.66.mlp.gate.e_score_correction_bias",
+      "model.layers.32.mlp.gate.e_score_correction_bias",
+      "model.layers.73.self_attn.k_proj.bias",
+      "model.layers.85.mlp.gate.e_score_correction_bias",
+      "model.layers.23.mlp.gate",
+      "model.layers.72.self_attn.q_proj.bias",
+      "model.layers.25.mlp.gate",
+      "model.layers.43.mlp.gate.e_score_correction_bias",
+      "model.layers.50.mlp.gate.e_score_correction_bias",
+      "model.layers.6.mlp.gate.e_score_correction_bias",
+      "model.layers.14.mlp.gate",
+      "model.layers.50.self_attn.v_proj.bias",
+      "model.layers.33.self_attn.k_norm",
+      "model.layers.92.self_attn.q_proj.bias",
+      "model.layers.6.self_attn.k_proj.bias",
+      "model.layers.43.mlp.gate",
+      "model.layers.68.self_attn.q_proj.bias",
+      "model.layers.33.self_attn.v_proj.bias",
+      "model.layers.41.self_attn.k_norm",
+      "model.layers.32.self_attn.k_norm",
+      "model.layers.28.post_attention_layernorm",
+      "model.layers.61.self_attn.v_proj.bias",
+      "model.layers.16.post_attention_layernorm",
+      "model.layers.48.mlp.gate.e_score_correction_bias",
+      "model.layers.4.self_attn.v_proj.bias",
+      "model.layers.88.self_attn.k_norm",
+      "model.layers.68.self_attn.k_norm",
+      "model.layers.77.self_attn.q_proj.bias",
+      "model.layers.8.self_attn.v_proj.bias",
+      "model.layers.20.mlp.gate.e_score_correction_bias",
+      "model.layers.86.self_attn.k_norm",
+      "model.layers.36.self_attn.v_proj.bias",
+      "model.layers.71.input_layernorm",
+      "model.layers.72.mlp.gate",
+      "model.layers.24.self_attn.k_norm",
+      "model.layers.20.self_attn.q_norm",
+      "model.layers.62.post_attention_layernorm",
+      "model.layers.3.self_attn.v_proj.bias",
+      "model.layers.25.input_layernorm",
+      "model.layers.20.self_attn.v_proj.bias",
+      "model.layers.64.self_attn.v_proj.bias",
+      "model.layers.19.self_attn.k_proj.bias",
+      "model.layers.63.mlp.gate.e_score_correction_bias",
+      "model.layers.92.embed_tokens",
+      "model.layers.62.self_attn.q_proj.bias",
+      "model.layers.69.self_attn.q_norm",
+      "model.layers.9.mlp.gate",
+      "model.layers.62.mlp.gate.e_score_correction_bias",
+      "model.layers.35.self_attn.k_proj.bias",
+      "model.layers.1.self_attn.q_proj.bias",
+      "model.layers.40.self_attn.q_norm",
+      "model.layers.26.input_layernorm",
+      "model.layers.50.self_attn.k_proj.bias",
+      "model.layers.39.input_layernorm",
+      "model.layers.28.self_attn.k_proj.bias",
+      "model.layers.39.self_attn.q_proj.bias",
+      "model.layers.5.mlp.gate",
+      "model.layers.56.input_layernorm",
+      "model.layers.60.self_attn.k_norm",
+      "model.layers.76.self_attn.q_norm",
+      "lm_head",
+      "model.layers.69.self_attn.k_norm",
+      "model.layers.23.self_attn.q_proj.bias",
+      "model.layers.58.self_attn.q_proj.bias",
+      "model.norm",
+      "model.layers.53.self_attn.k_proj.bias",
+      "model.layers.73.self_attn.v_proj.bias",
+      "model.layers.33.self_attn.q_proj.bias",
+      "model.layers.64.input_layernorm",
+      "model.layers.15.mlp.gate",
+      "model.layers.55.self_attn.q_proj.bias",
+      "model.layers.55.self_attn.k_norm",
+      "model.layers.27.mlp.gate.e_score_correction_bias",
+      "model.layers.68.input_layernorm",
+      "model.layers.30.self_attn.q_norm",
+      "model.layers.82.post_attention_layernorm",
+      "model.layers.29.self_attn.q_proj.bias",
+      "model.layers.79.self_attn.k_proj.bias",
+      "model.layers.16.self_attn.k_proj.bias",
+      "model.layers.71.self_attn.k_norm",
+      "model.layers.16.self_attn.k_norm",
+      "model.layers.75.self_attn.k_proj.bias",
+      "model.layers.52.self_attn.q_norm",
+      "model.layers.87.self_attn.v_proj.bias",
+      "model.layers.23.self_attn.k_proj.bias",
+      "model.layers.24.post_attention_layernorm",
+      "model.layers.40.self_attn.q_proj.bias",
+      "model.layers.46.mlp.gate.e_score_correction_bias",
+      "model.layers.54.input_layernorm",
+      "model.layers.75.post_attention_layernorm",
+      "model.layers.72.self_attn.k_proj.bias",
+      "model.layers.82.self_attn.q_proj.bias",
+      "model.layers.75.mlp.gate.e_score_correction_bias",
+      "model.layers.27.self_attn.q_norm",
+      "model.layers.39.self_attn.q_norm",
+      "model.layers.45.self_attn.k_proj.bias",
+      "model.layers.90.self_attn.k_proj.bias",
+      "model.layers.65.self_attn.q_proj.bias",
+      "model.layers.5.self_attn.k_norm",
+      "model.layers.89.self_attn.q_proj.bias",
+      "model.layers.10.self_attn.k_proj.bias",
+      "model.layers.86.self_attn.v_proj.bias",
+      "model.layers.89.mlp.gate.e_score_correction_bias",
+      "model.layers.42.self_attn.k_norm",
+      "model.layers.57.self_attn.k_proj.bias",
+      "model.layers.68.post_attention_layernorm",
+      "model.layers.1.self_attn.v_proj.bias",
+      "model.layers.38.self_attn.k_proj.bias",
+      "model.layers.75.self_attn.v_proj.bias",
+      "model.layers.44.self_attn.q_proj.bias",
+      "model.layers.8.mlp.gate.e_score_correction_bias",
+      "model.layers.55.input_layernorm",
+      "model.layers.7.self_attn.v_proj.bias",
+      "model.layers.51.self_attn.k_norm",
+      "model.layers.19.mlp.gate",
+      "model.layers.12.self_attn.q_norm",
+      "model.layers.78.self_attn.k_norm",
+      "model.layers.61.self_attn.q_norm",
+      "model.layers.18.mlp.gate",
+      "model.layers.8.self_attn.q_norm",
+      "model.layers.7.self_attn.k_norm",
+      "model.layers.84.self_attn.q_norm",
+      "model.layers.44.self_attn.k_proj.bias",
+      "model.layers.38.self_attn.q_proj.bias",
+      "model.layers.37.mlp.gate.e_score_correction_bias",
+      "model.layers.34.mlp.gate",
+      "model.layers.92.eh_proj",
+      "model.layers.75.self_attn.q_proj.bias",
+      "model.layers.61.mlp.gate.e_score_correction_bias",
+      "model.layers.33.mlp.gate.e_score_correction_bias",
+      "model.layers.81.mlp.gate.e_score_correction_bias",
+      "model.layers.47.self_attn.k_proj.bias",
+      "model.layers.72.self_attn.q_norm",
+      "model.layers.62.self_attn.k_proj.bias",
+      "model.layers.33.self_attn.q_norm",
+      "model.layers.24.mlp.gate",
+      "model.layers.51.input_layernorm",
+      "model.layers.42.self_attn.k_proj.bias",
+      "model.layers.43.self_attn.k_norm",
+      "model.layers.46.self_attn.k_proj.bias",
+      "model.layers.66.input_layernorm",
+      "model.layers.31.mlp.gate.e_score_correction_bias",
+      "model.layers.77.post_attention_layernorm",
+      "model.layers.52.self_attn.k_norm",
+      "model.layers.4.mlp.gate",
+      "model.layers.51.post_attention_layernorm",
+      "model.layers.15.self_attn.k_norm",
+      "model.layers.60.self_attn.k_proj.bias",
+      "model.layers.6.self_attn.q_norm",
+      "model.layers.85.mlp.gate",
+      "model.layers.66.self_attn.k_norm",
+      "model.layers.22.self_attn.v_proj.bias",
+      "model.layers.36.self_attn.k_norm",
+      "model.layers.8.input_layernorm",
+      "model.layers.19.mlp.gate.e_score_correction_bias",
+      "model.layers.25.self_attn.k_proj.bias",
+      "model.layers.31.self_attn.q_norm",
+      "model.layers.16.mlp.gate.e_score_correction_bias",
+      "model.layers.57.self_attn.v_proj.bias",
+      "model.layers.35.mlp.gate",
+      "model.layers.75.input_layernorm",
+      "model.layers.2.self_attn.v_proj.bias",
+      "model.layers.9.self_attn.v_proj.bias",
+      "model.layers.80.self_attn.q_proj.bias",
+      "model.layers.19.self_attn.v_proj.bias",
+      "model.layers.4.post_attention_layernorm",
+      "model.layers.65.input_layernorm",
+      "model.layers.82.mlp.gate.e_score_correction_bias",
+      "model.layers.69.post_attention_layernorm",
+      "model.layers.21.self_attn.q_norm",
+      "model.layers.18.post_attention_layernorm",
+      "model.layers.81.self_attn.q_proj.bias",
+      "model.layers.77.input_layernorm",
+      "model.layers.17.self_attn.q_norm",
+      "model.layers.80.input_layernorm",
+      "model.layers.13.mlp.gate.e_score_correction_bias",
+      "model.layers.0.post_attention_layernorm",
+      "model.layers.19.post_attention_layernorm",
+      "model.layers.91.self_attn.v_proj.bias",
+      "model.layers.77.mlp.gate",
+      "model.layers.11.self_attn.q_norm",
+      "model.layers.92.hnorm",
+      "model.layers.11.self_attn.q_proj.bias",
+      "model.layers.47.self_attn.q_norm",
+      "model.layers.42.self_attn.v_proj.bias",
+      "model.layers.90.input_layernorm",
+      "model.layers.78.input_layernorm",
+      "model.layers.11.self_attn.v_proj.bias",
+      "model.layers.80.self_attn.q_norm",
+      "model.layers.83.input_layernorm",
+      "model.layers.43.self_attn.q_norm",
+      "model.layers.91.post_attention_layernorm",
+      "model.layers.50.mlp.gate",
+      "model.layers.48.self_attn.k_proj.bias",
+      "model.layers.70.mlp.gate.e_score_correction_bias",
+      "model.layers.14.self_attn.q_proj.bias",
+      "model.layers.31.self_attn.k_proj.bias",
+      "model.layers.47.self_attn.v_proj.bias",
+      "model.layers.12.self_attn.k_proj.bias",
+      "model.layers.12.mlp.gate",
+      "model.layers.34.self_attn.q_norm",
+      "model.layers.62.self_attn.v_proj.bias",
+      "model.layers.26.mlp.gate.e_score_correction_bias",
+      "model.layers.45.mlp.gate.e_score_correction_bias",
+      "model.layers.77.self_attn.q_norm",
+      "model.layers.47.self_attn.k_norm",
+      "model.layers.53.post_attention_layernorm",
+      "model.layers.7.post_attention_layernorm",
+      "model.layers.90.post_attention_layernorm",
+      "model.layers.40.mlp.gate.e_score_correction_bias",
+      "model.layers.63.input_layernorm",
+      "model.layers.52.mlp.gate.e_score_correction_bias",
+      "model.layers.92.input_layernorm",
+      "model.layers.44.self_attn.v_proj.bias",
+      "model.layers.46.mlp.gate",
+      "model.layers.18.self_attn.k_proj.bias",
+      "model.layers.62.input_layernorm",
+      "model.layers.24.self_attn.v_proj.bias",
+      "model.layers.40.post_attention_layernorm",
+      "model.layers.8.post_attention_layernorm",
+      "model.layers.82.mlp.gate",
+      "model.layers.17.post_attention_layernorm",
+      "model.layers.45.self_attn.v_proj.bias",
+      "model.layers.84.self_attn.k_proj.bias",
+      "model.layers.15.self_attn.k_proj.bias",
+      "model.layers.0.self_attn.q_proj.bias",
+      "model.layers.92.shared_head.norm",
+      "model.layers.51.self_attn.q_proj.bias",
+      "model.layers.22.mlp.gate",
+      "model.layers.4.self_attn.k_norm",
+      "model.layers.84.input_layernorm",
+      "model.layers.30.self_attn.k_proj.bias",
+      "model.layers.12.self_attn.v_proj.bias",
+      "model.layers.37.input_layernorm",
+      "model.layers.37.self_attn.q_norm",
+      "model.layers.45.self_attn.q_norm",
+      "model.layers.72.self_attn.v_proj.bias",
+      "model.layers.64.self_attn.k_norm",
+      "model.layers.43.self_attn.k_proj.bias",
+      "model.layers.38.mlp.gate.e_score_correction_bias",
+      "model.layers.79.input_layernorm",
+      "model.layers.48.mlp.gate",
+      "model.layers.52.self_attn.q_proj.bias",
+      "model.layers.46.self_attn.v_proj.bias",
+      "model.layers.81.mlp.gate",
+      "model.layers.71.self_attn.q_proj.bias",
+      "model.layers.50.self_attn.k_norm",
+      "model.layers.18.self_attn.v_proj.bias",
+      "model.layers.53.input_layernorm",
+      "model.layers.64.self_attn.q_proj.bias",
+      "model.layers.12.self_attn.k_norm",
+      "model.embed_tokens",
+      "model.layers.78.self_attn.k_proj.bias",
+      "model.layers.40.self_attn.k_norm",
+      "model.layers.11.input_layernorm",
+      "model.layers.22.input_layernorm",
+      "model.layers.39.mlp.gate",
+      "model.layers.30.self_attn.k_norm",
+      "model.layers.71.mlp.gate",
+      "model.layers.71.post_attention_layernorm",
+      "model.layers.78.self_attn.q_norm",
+      "model.layers.87.mlp.gate",
+      "model.layers.14.self_attn.q_norm",
+      "model.layers.42.post_attention_layernorm",
+      "model.layers.3.post_attention_layernorm",
+      "model.layers.92.self_attn.k_proj.bias",
+      "model.layers.3.mlp.gate",
+      "model.layers.89.mlp.gate",
+      "model.layers.86.self_attn.k_proj.bias",
+      "model.layers.87.self_attn.q_proj.bias",
+      "model.layers.63.self_attn.k_proj.bias",
+      "model.layers.87.input_layernorm",
+      "model.layers.10.self_attn.q_proj.bias",
+      "model.layers.81.post_attention_layernorm",
+      "model.layers.39.self_attn.v_proj.bias",
+      "model.layers.43.post_attention_layernorm",
+      "model.layers.76.mlp.gate",
+      "model.layers.28.self_attn.v_proj.bias",
+      "model.layers.57.self_attn.q_proj.bias",
+      "model.layers.21.mlp.gate.e_score_correction_bias",
+      "model.layers.75.self_attn.q_norm",
+      "model.layers.58.self_attn.k_proj.bias",
+      "model.layers.52.input_layernorm",
+      "model.layers.0.self_attn.k_proj.bias",
+      "model.layers.78.mlp.gate.e_score_correction_bias",
+      "model.layers.85.self_attn.k_norm",
+      "model.layers.42.self_attn.q_norm",
+      "model.layers.25.self_attn.v_proj.bias",
+      "model.layers.36.post_attention_layernorm",
+      "model.layers.4.self_attn.q_norm",
+      "model.layers.16.self_attn.q_norm",
+      "model.layers.41.self_attn.k_proj.bias",
+      "model.layers.5.self_attn.q_proj.bias",
+      "model.layers.28.self_attn.q_norm",
+      "model.layers.41.self_attn.q_proj.bias",
+      "model.layers.68.mlp.gate.e_score_correction_bias",
+      "model.layers.26.self_attn.k_proj.bias",
+      "model.layers.86.input_layernorm",
+      "model.layers.35.mlp.gate.e_score_correction_bias",
+      "model.layers.69.input_layernorm",
+      "model.layers.77.mlp.gate.e_score_correction_bias",
+      "model.layers.10.self_attn.q_norm",
+      "model.layers.32.post_attention_layernorm",
+      "model.layers.54.self_attn.q_norm",
+      "model.layers.45.post_attention_layernorm",
+      "model.layers.45.input_layernorm",
+      "model.layers.15.post_attention_layernorm",
+      "model.layers.64.post_attention_layernorm",
+      "model.layers.15.self_attn.v_proj.bias",
+      "model.layers.24.self_attn.k_proj.bias",
+      "model.layers.64.self_attn.k_proj.bias",
+      "model.layers.14.post_attention_layernorm",
+      "model.layers.40.mlp.gate",
+      "model.layers.50.input_layernorm",
+      "model.layers.21.self_attn.v_proj.bias",
+      "model.layers.66.self_attn.q_proj.bias",
+      "model.layers.78.mlp.gate",
+      "model.layers.2.self_attn.q_proj.bias",
+      "model.layers.12.self_attn.q_proj.bias",
+      "model.layers.7.mlp.gate",
+      "model.layers.35.post_attention_layernorm",
+      "model.layers.52.post_attention_layernorm",
+      "model.layers.30.post_attention_layernorm",
+      "model.layers.59.input_layernorm",
+      "model.layers.86.post_attention_layernorm",
+      "model.layers.0.self_attn.v_proj.bias",
+      "model.layers.24.mlp.gate.e_score_correction_bias",
+      "model.layers.34.self_attn.k_norm",
+      "model.layers.4.self_attn.k_proj.bias",
+      "model.layers.74.self_attn.q_proj.bias",
+      "model.layers.78.self_attn.v_proj.bias",
+      "model.layers.49.self_attn.q_proj.bias",
+      "model.layers.53.mlp.gate.e_score_correction_bias",
+      "model.layers.60.self_attn.v_proj.bias",
+      "model.layers.59.mlp.gate",
+      "model.layers.61.mlp.gate",
+      "model.layers.26.self_attn.q_norm",
+      "model.layers.1.input_layernorm",
+      "model.layers.33.mlp.gate",
+      "model.layers.91.mlp.gate",
+      "model.layers.26.self_attn.q_proj.bias",
+      "model.layers.83.mlp.gate",
+      "model.layers.12.mlp.gate.e_score_correction_bias",
+      "model.layers.36.self_attn.q_norm",
+      "model.layers.91.mlp.gate.e_score_correction_bias",
+      "model.layers.25.self_attn.q_norm",
+      "model.layers.91.self_attn.k_norm",
+      "model.layers.20.self_attn.k_norm",
+      "model.layers.8.self_attn.k_proj.bias",
+      "model.layers.29.self_attn.v_proj.bias",
+      "model.layers.82.self_attn.k_proj.bias",
+      "model.layers.89.post_attention_layernorm",
+      "model.layers.29.self_attn.k_norm",
+      "model.layers.88.self_attn.q_norm",
+      "model.layers.48.self_attn.q_proj.bias",
+      "model.layers.22.self_attn.k_norm",
+      "model.layers.27.self_attn.q_proj.bias",
+      "model.layers.23.mlp.gate.e_score_correction_bias",
+      "model.layers.1.post_attention_layernorm",
+      "model.layers.29.post_attention_layernorm",
+      "model.layers.58.mlp.gate",
+      "model.layers.27.input_layernorm",
+      "model.layers.66.self_attn.k_proj.bias",
+      "model.layers.87.mlp.gate.e_score_correction_bias",
+      "model.layers.22.self_attn.q_norm",
+      "model.layers.4.mlp.gate.e_score_correction_bias",
+      "model.layers.51.mlp.gate",
+      "model.layers.90.mlp.gate.e_score_correction_bias",
+      "model.layers.3.self_attn.q_norm",
+      "model.layers.33.input_layernorm",
+      "model.layers.91.self_attn.k_proj.bias",
+      "model.layers.8.self_attn.q_proj.bias",
+      "model.layers.12.post_attention_layernorm",
+      "model.layers.3.mlp.gate.e_score_correction_bias",
+      "model.layers.69.mlp.gate.e_score_correction_bias",
+      "model.layers.17.self_attn.k_proj.bias",
+      "model.layers.82.self_attn.k_norm",
+      "model.layers.10.post_attention_layernorm",
+      "model.layers.84.mlp.gate",
+      "model.layers.6.input_layernorm",
+      "model.layers.70.mlp.gate",
+      "model.layers.33.post_attention_layernorm",
+      "model.layers.31.self_attn.k_norm",
+      "model.layers.88.self_attn.q_proj.bias",
+      "model.layers.80.self_attn.k_norm",
+      "model.layers.36.mlp.gate.e_score_correction_bias",
+      "model.layers.56.self_attn.v_proj.bias",
+      "model.layers.1.self_attn.k_proj.bias",
+      "model.layers.44.self_attn.k_norm",
+      "model.layers.60.mlp.gate.e_score_correction_bias",
+      "model.layers.32.self_attn.k_proj.bias",
+      "model.layers.69.self_attn.k_proj.bias",
+      "model.layers.4.input_layernorm",
+      "model.layers.15.self_attn.q_norm",
+      "model.layers.79.self_attn.k_norm",
+      "model.layers.4.self_attn.q_proj.bias",
+      "model.layers.51.mlp.gate.e_score_correction_bias",
+      "model.layers.57.self_attn.k_norm",
+      "model.layers.90.self_attn.k_norm",
+      "model.layers.27.self_attn.k_norm",
+      "model.layers.50.post_attention_layernorm",
+      "model.layers.21.self_attn.q_proj.bias",
+      "model.layers.10.input_layernorm",
+      "model.layers.64.self_attn.q_norm",
+      "model.layers.67.self_attn.k_proj.bias",
+      "model.layers.85.self_attn.v_proj.bias",
+      "model.layers.14.mlp.gate.e_score_correction_bias",
+      "model.layers.32.mlp.gate",
+      "model.layers.67.self_attn.v_proj.bias",
+      "model.layers.26.self_attn.k_norm",
+      "model.layers.19.self_attn.q_norm",
+      "model.layers.22.mlp.gate.e_score_correction_bias",
+      "model.layers.68.self_attn.q_norm",
+      "model.layers.86.mlp.gate.e_score_correction_bias",
+      "model.layers.20.post_attention_layernorm",
+      "model.layers.21.post_attention_layernorm",
+      "model.layers.49.self_attn.v_proj.bias",
+      "model.layers.38.mlp.gate",
+      "model.layers.82.self_attn.v_proj.bias",
+      "model.layers.42.mlp.gate",
+      "model.layers.21.input_layernorm",
+      "model.layers.22.self_attn.k_proj.bias",
+      "model.layers.54.self_attn.q_proj.bias",
+      "model.layers.76.post_attention_layernorm",
+      "model.layers.67.input_layernorm",
+      "model.layers.65.self_attn.v_proj.bias",
+      "model.layers.67.self_attn.q_norm",
+      "model.layers.79.self_attn.q_norm",
+      "model.layers.47.input_layernorm",
+      "model.layers.79.mlp.gate.e_score_correction_bias",
+      "model.layers.76.self_attn.k_norm",
+      "model.layers.60.mlp.gate",
+      "model.layers.20.self_attn.q_proj.bias",
+      "model.layers.11.post_attention_layernorm",
+      "model.layers.24.self_attn.q_norm",
+      "model.layers.53.self_attn.k_norm",
+      "model.layers.53.self_attn.q_proj.bias",
+      "model.layers.75.self_attn.k_norm",
+      "model.layers.28.self_attn.q_proj.bias",
+      "model.layers.65.self_attn.q_norm",
+      "model.layers.39.self_attn.k_proj.bias",
+      "model.layers.85.input_layernorm",
+      "model.layers.17.self_attn.q_proj.bias",
+      "model.layers.65.post_attention_layernorm",
+      "model.layers.68.mlp.gate",
+      "model.layers.13.self_attn.q_norm",
+      "model.layers.81.self_attn.v_proj.bias",
+      "model.layers.58.self_attn.q_norm",
+      "model.layers.34.input_layernorm",
+      "model.layers.25.self_attn.q_proj.bias",
+      "model.layers.77.self_attn.k_proj.bias",
+      "model.layers.39.mlp.gate.e_score_correction_bias",
+      "model.layers.0.input_layernorm",
+      "model.layers.76.self_attn.v_proj.bias",
+      "model.layers.6.self_attn.k_norm",
+      "model.layers.74.self_attn.k_proj.bias",
+      "model.layers.92.self_attn.k_norm",
+      "model.layers.37.self_attn.k_proj.bias",
+      "model.layers.18.self_attn.k_norm",
+      "model.layers.48.self_attn.q_norm",
+      "model.layers.84.self_attn.v_proj.bias",
+      "model.layers.47.mlp.gate.e_score_correction_bias",
+      "model.layers.49.self_attn.q_norm",
+      "model.layers.51.self_attn.v_proj.bias",
+      "model.layers.61.input_layernorm",
+      "model.layers.28.self_attn.k_norm",
+      "model.layers.32.self_attn.v_proj.bias",
+      "model.layers.55.self_attn.q_norm",
+      "model.layers.55.self_attn.k_proj.bias",
+      "model.layers.47.post_attention_layernorm",
+      "model.layers.69.self_attn.q_proj.bias",
+      "model.layers.28.input_layernorm",
+      "model.layers.40.self_attn.v_proj.bias",
+      "model.layers.19.input_layernorm",
+      "model.layers.83.self_attn.q_proj.bias",
+      "model.layers.66.self_attn.v_proj.bias",
+      "model.layers.59.mlp.gate.e_score_correction_bias",
+      "model.layers.23.self_attn.v_proj.bias",
+      "model.layers.0.self_attn.q_norm",
+      "model.layers.5.mlp.gate.e_score_correction_bias",
+      "model.layers.37.self_attn.v_proj.bias",
+      "model.layers.2.post_attention_layernorm",
+      "model.layers.5.self_attn.v_proj.bias",
+      "model.layers.34.self_attn.k_proj.bias",
+      "model.layers.38.self_attn.v_proj.bias",
+      "model.layers.81.self_attn.k_norm",
+      "model.layers.32.input_layernorm",
+      "model.layers.10.self_attn.k_norm",
+      "model.layers.54.self_attn.k_norm",
+      "model.layers.70.input_layernorm",
+      "model.layers.41.self_attn.v_proj.bias",
+      "model.layers.74.post_attention_layernorm",
+      "model.layers.35.input_layernorm",
+      "model.layers.7.mlp.gate.e_score_correction_bias",
+      "model.layers.6.post_attention_layernorm",
+      "model.layers.86.mlp.gate",
+      "model.layers.20.mlp.gate",
+      "model.layers.31.mlp.gate",
+      "model.layers.2.self_attn.q_norm",
+      "model.layers.23.self_attn.q_norm",
+      "model.layers.6.self_attn.q_proj.bias",
+      "model.layers.83.self_attn.k_norm",
+      "model.layers.38.input_layernorm",
+      "model.layers.60.self_attn.q_norm",
+      "model.layers.91.self_attn.q_norm",
+      "model.layers.44.input_layernorm",
+      "model.layers.67.post_attention_layernorm",
+      "model.layers.27.self_attn.v_proj.bias",
+      "model.layers.15.input_layernorm",
+      "model.layers.26.self_attn.v_proj.bias",
+      "model.layers.44.post_attention_layernorm",
+      "model.layers.46.self_attn.q_norm",
+      "model.layers.58.self_attn.v_proj.bias",
+      "model.layers.67.self_attn.k_norm",
+      "model.layers.38.self_attn.k_norm",
+      "model.layers.56.mlp.gate.e_score_correction_bias",
+      "model.layers.73.self_attn.k_norm",
+      "model.layers.80.mlp.gate.e_score_correction_bias",
+      "model.layers.37.self_attn.q_proj.bias",
+      "model.layers.17.mlp.gate",
+      "model.layers.19.self_attn.k_norm",
+      "model.layers.53.mlp.gate",
+      "model.layers.21.self_attn.k_proj.bias",
+      "model.layers.56.self_attn.q_norm",
+      "model.layers.59.self_attn.v_proj.bias",
+      "model.layers.64.mlp.gate.e_score_correction_bias",
+      "model.layers.86.self_attn.q_proj.bias",
+      "model.layers.46.input_layernorm",
+      "model.layers.6.mlp.gate",
+      "model.layers.40.self_attn.k_proj.bias",
+      "model.layers.60.self_attn.q_proj.bias",
+      "model.layers.6.self_attn.v_proj.bias",
+      "model.layers.47.mlp.gate",
+      "model.layers.32.self_attn.q_proj.bias",
+      "model.layers.17.mlp.gate.e_score_correction_bias",
+      "model.layers.29.self_attn.k_proj.bias",
+      "model.layers.44.mlp.gate.e_score_correction_bias",
+      "model.layers.57.mlp.gate.e_score_correction_bias",
+      "model.layers.87.self_attn.q_norm",
+      "model.layers.71.self_attn.q_norm",
+      "model.layers.52.self_attn.k_proj.bias",
+      "model.layers.88.mlp.gate.e_score_correction_bias",
+      "model.layers.68.self_attn.k_proj.bias",
+      "model.layers.16.self_attn.q_proj.bias",
+      "model.layers.48.self_attn.v_proj.bias",
+      "model.layers.74.self_attn.q_norm",
+      "model.layers.34.self_attn.q_proj.bias",
+      "model.layers.1.self_attn.q_norm",
+      "model.layers.63.mlp.gate",
+      "model.layers.92.enorm",
+      "model.layers.14.self_attn.v_proj.bias",
+      "model.layers.54.post_attention_layernorm",
+      "model.layers.41.self_attn.q_norm",
+      "model.layers.37.post_attention_layernorm",
+      "model.layers.61.self_attn.q_proj.bias",
+      "model.layers.91.input_layernorm",
+      "model.layers.11.self_attn.k_norm",
+      "model.layers.43.self_attn.q_proj.bias",
+      "model.layers.18.mlp.gate.e_score_correction_bias",
+      "model.layers.59.post_attention_layernorm",
+      "model.layers.9.self_attn.q_norm",
+      "model.layers.74.self_attn.k_norm",
+      "model.layers.43.self_attn.v_proj.bias",
+      "model.layers.49.self_attn.k_proj.bias",
+      "model.layers.56.self_attn.k_proj.bias",
+      "model.layers.14.self_attn.k_proj.bias",
+      "model.layers.65.mlp.gate",
+      "model.layers.56.self_attn.q_proj.bias",
+      "model.layers.24.self_attn.q_proj.bias",
+      "model.layers.71.self_attn.v_proj.bias",
+      "model.layers.54.mlp.gate.e_score_correction_bias",
+      "model.layers.39.post_attention_layernorm",
+      "model.layers.91.self_attn.q_proj.bias",
+      "model.layers.92.mlp.gate.e_score_correction_bias",
+      "model.layers.46.post_attention_layernorm",
+      "model.layers.92.self_attn.v_proj.bias",
+      "model.layers.63.self_attn.v_proj.bias",
+      "model.layers.25.post_attention_layernorm",
+      "model.layers.45.self_attn.q_proj.bias",
+      "model.layers.38.self_attn.q_norm",
+      "model.layers.68.self_attn.v_proj.bias",
+      "model.layers.69.mlp.gate",
+      "model.layers.84.self_attn.k_norm",
+      "model.layers.19.self_attn.q_proj.bias",
+      "model.layers.38.post_attention_layernorm",
+      "model.layers.44.mlp.gate",
+      "model.layers.70.post_attention_layernorm",
+      "model.layers.58.mlp.gate.e_score_correction_bias",
+      "model.layers.28.mlp.gate.e_score_correction_bias",
+      "model.layers.48.post_attention_layernorm",
+      "model.layers.36.self_attn.q_proj.bias",
+      "model.layers.66.self_attn.q_norm",
+      "model.layers.70.self_attn.k_proj.bias",
+      "model.layers.57.input_layernorm",
+      "model.layers.42.self_attn.q_proj.bias",
+      "model.layers.26.mlp.gate",
+      "model.layers.74.self_attn.v_proj.bias",
+      "model.layers.59.self_attn.k_proj.bias",
+      "model.layers.88.mlp.gate",
+      "model.layers.14.self_attn.k_norm",
+      "model.layers.88.self_attn.k_proj.bias",
+      "model.layers.35.self_attn.q_proj.bias",
+      "model.layers.65.self_attn.k_proj.bias",
+      "model.layers.18.self_attn.q_proj.bias",
+      "model.layers.30.self_attn.q_proj.bias",
+      "model.layers.29.self_attn.q_norm",
+      "model.layers.78.post_attention_layernorm",
+      "model.layers.79.mlp.gate",
+      "model.layers.27.post_attention_layernorm",
+      "model.layers.80.self_attn.v_proj.bias",
+      "model.layers.16.mlp.gate",
+      "model.layers.10.self_attn.v_proj.bias",
+      "model.layers.13.self_attn.v_proj.bias",
+      "model.layers.70.self_attn.q_norm",
+      "model.layers.73.mlp.gate.e_score_correction_bias",
+      "model.layers.41.post_attention_layernorm",
+      "model.layers.39.self_attn.k_norm",
+      "model.layers.10.mlp.gate",
+      "model.layers.36.mlp.gate",
+      "model.layers.92.post_attention_layernorm",
+      "model.layers.64.mlp.gate",
+      "model.layers.40.input_layernorm",
+      "model.layers.77.self_attn.k_norm",
+      "model.layers.31.post_attention_layernorm",
+      "model.layers.56.mlp.gate",
+      "model.layers.16.self_attn.v_proj.bias",
+      "model.layers.9.self_attn.q_proj.bias",
+      "model.layers.13.mlp.gate",
+      "model.layers.17.self_attn.k_norm",
+      "model.layers.22.self_attn.q_proj.bias",
+      "model.layers.49.mlp.gate.e_score_correction_bias",
+      "model.layers.9.self_attn.k_proj.bias",
+      "model.layers.37.mlp.gate",
+      "model.layers.72.mlp.gate.e_score_correction_bias",
+      "model.layers.90.self_attn.q_norm",
+      "model.layers.79.self_attn.q_proj.bias",
+      "model.layers.75.mlp.gate",
+      "model.layers.74.mlp.gate.e_score_correction_bias",
+      "model.layers.89.self_attn.v_proj.bias",
+      "model.layers.59.self_attn.k_norm",
+      "model.layers.76.input_layernorm",
+      "model.layers.66.mlp.gate",
+      "model.layers.55.post_attention_layernorm",
+      "model.layers.24.input_layernorm",
+      "model.layers.57.post_attention_layernorm",
+      "model.layers.23.input_layernorm",
+      "model.layers.67.mlp.gate",
+      "model.layers.13.self_attn.k_proj.bias",
+      "model.layers.69.self_attn.v_proj.bias",
+      "model.layers.85.post_attention_layernorm",
+      "model.layers.13.self_attn.q_proj.bias",
+      "model.layers.87.self_attn.k_norm",
+      "model.layers.89.self_attn.k_norm",
+      "model.layers.54.self_attn.k_proj.bias",
+      "model.layers.49.input_layernorm",
+      "model.layers.78.self_attn.q_proj.bias",
+      "model.layers.81.self_attn.q_norm",
+      "model.layers.41.input_layernorm",
+      "model.layers.90.mlp.gate",
+      "model.layers.61.self_attn.k_norm",
+      "model.layers.20.input_layernorm"
+    ],
+    "kv_cache_scheme": null,
+    "quant_method": "compressed-tensors",
+    "quantization_status": "compressed",
+    "sparsity_config": {}
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "routed_scaling_factor": 2.5,
+  "tie_word_embeddings": false,
+  "topk_group": 1,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.55.0",
+  "use_cache": true,
+  "use_qk_norm": true,
+  "vocab_size": 151552
+}

generation_config.json

@@ -0,0 +1,10 @@
+{
+  "_from_model_config": true,
+  "eos_token_id": [
+    151329,
+    151336,
+    151338
+  ],
+  "pad_token_id": 151329,
+  "transformers_version": "4.55.0"
+}

model-00001-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c0d279835a2db514bd832a03660e49d9726a1211fe4ed5ac7e0b4ef12b63f72
+size 4993440232

model-00002-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac30f37ccfdcfb0abbcb1704ee19793273c6c6abaf971457e42312703b8d1b7b
+size 4997122632

model-00003-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03644407f0bb861994820d5b5a18685494301f5c6e2fbed6ea89acae930a495a
+size 4997122480

model-00004-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54077a4bb927b983d0eb4bad34a0fe10dea3f14023742ef9f9b24d116ec7ec35
+size 4997122352

model-00005-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54b93826758c880658c2f0833ae60cf3d62638473d1aeffa9741d56c0c57b806
+size 4986702944

model-00006-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:35454db1b9eefb85105c13a1b9d2472ef40ed2ba08414bba23cff5c875e53a4c
+size 4995909288

model-00007-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08826445a05e3d4bdb057012cba70d844ff93ece612023177c66c7e7ce1519f7
+size 4997123800

model-00008-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf88407b26585f9cab3e1c73a32b5e95efb813608f1d4691a8d2ec24092c1ba9
+size 4997123640

model-00009-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:879f893ea1cc6216d965bae2e275e1fdb1b5f707d22e3af5b802ad0675d59be0
+size 4997123592

model-00010-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cac611423122e7b1ba8d415ce244c434eb422c1d8eb009621ca117b80a1e1c97
+size 4993364016

model-00011-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03c3b381b779dd5ad733797e956832aaf01ce281d41a543e44a11256deefc66b
+size 4997123872

model-00012-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc7e763b98bb2e0d0820ab79745b5b2a86648539768081eb4e220c070ac918e3
+size 4997123728

model-00013-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:32d4cee5b844dea2e8f56c8bc0e7b94591d31c07906209787be268ba8862255c
+size 4997123584

model-00014-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61e06dfd167a795cfb857bdad8bebfbddadaf001b01fa0938f56d218d7b35879
+size 4989292880

model-00015-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d12f144cd001ff8929cb494533e4c80efb782e61920214f77b19953667713925
+size 4993319904

model-00016-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f7f7e91ca7d38f2cd5f0733ddf7296a9ec32c66babf15c4b8dbcb90bf9a5732
+size 4997123816

model-00017-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6327edc02ec8f8c1a86e9250526dd48c981bd9e4ec7db56bfb19863afa5ab29a
+size 4997123656

model-00018-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c20710c8f467b18bd006e69ffd657cfbd7729e1c8552bbca913945d2503c8c0
+size 4997123592

model-00019-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ebea07c392e7c535f8e533104980f84c1ba7489f02f2e6fc6a9032ec80411356
+size 4993364040

model-00020-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2e58833494a6fb48530a7acd66c231a30dd71c11f3777074ce41d83da03f548
+size 4997123872

model-00021-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7417789db9f751959029f5ba87172baf0ff4e6776d3434c9e4867c23fc1b07d6
+size 4997123744

model-00022-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9cbebb77f52f06aac8a23a53fd56d57b8597605b6df9aef6249750855e1db80
+size 4997123592

model-00023-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79764fd2d183286bd11d3db7635c4d43c410169f5f1a0c30301231b1b949245f
+size 4997123640

model-00024-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a0023e3d41c04fae54ceb449aead2acee6893db32dd1c82f981f9a49aea13528
+size 4993356784

model-00025-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d786398cfa4fb489de212577ef85cf136b22ca96bf703fbe16fecccbeb41747c
+size 4997123832

model-00026-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c953b8cf4f725ae73a4f8c8e81fd93da805edd39b76f44d3c530e7ed7effe4c
+size 4997123680

model-00027-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04d17f3273f8f2b3e0306c444df3af90a1313a1edb88e14ba3145c7f7312fd18
+size 4997123592

model-00028-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af3d908609fb75c97c28598ef84e4b24d84161c25fedfe803785cde6e7b17839
+size 4993364056

model-00029-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec5af621af54053c027f404533c4bcd5e73dfa2a98c508f52cfbd31f89865090
+size 4997123880

model-00030-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:520aa428f1ec57b90b1e36fb9f783b1e3cdbfaf86cec7554c48045e09451be55
+size 4997123768

model-00031-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41e1bcc6dff39801993f7a26659160d4a23f9c30958f05721ad295d4ccbc7ee5
+size 4997123608

model-00032-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a51af308c3c9a17a561f66daf233b175b2007a6680eb9000c5d85a9e8d5b9713
+size 4997123624

model-00033-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe33bff4f613129e9062de06b52276835dbc59088bad01dbf1599a2337b74355
+size 4993363976

model-00034-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aaa2bf16f2918c2a339a94dbcf9949d3be01174b39516293ed7bf712224459ff
+size 4997123856

model-00035-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:128244fbe7a7fa0e3fd96c14a482fdd2715bb0cfa72066f88afc9aaa634649b9
+size 4997123696

model-00036-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02e90de61f538a6fd272c8261db0cfa6a14e649b45c087b2975d6226ec2839b7
+size 4997123584

model-00037-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8f123655f16d15c3ed7bb5646e29534b5f002c2eae42c195a762ed535e6e4ae
+size 4993356912

model-00038-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5cfe5b7710cc5541f87da0c2b39ebff4543e51200003ce834932555e4c3e24e3
+size 4997123896

model-00039-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8076567078801cceccf6786674eb8aa65d839393e59dc94d689731a841012a79
+size 4997123784

model-00040-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53b47f53f173581692c3179e2b66b1f1420b6be03ecf02801c7056c72f3eae4f
+size 4997123632

model-00041-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d4ca5392c0acad70801acb195a3667933b01cd676e1888aae48abcb05adca38
+size 4997123600

model-00042-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:555d39bb438daeace411f2881597bf2111a8d9cc0bb23cf492efc1e4977d2540
+size 4993363992

model-00043-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1366dfd0ea283d32a5b819132edf1503b8df8a6fafd9ff75028509abfe5f2c9
+size 4997123872

model-00044-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac07faf456a70fe54b2f4afc0831a2b1af51326933674514821859da1fee2ff2
+size 4997123720

model-00045-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25a39d7da480ee7d34eb9d1b8553f681699c6f88897b8b33398d9e2ac6a9505e
+size 4997123592

model-00046-of-00051.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d26065cc139882202bc8ff8679937b2735d43cd7858828eca77f301b6fa2eee2
+size 4955225760