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README.md
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- Qwen/Qwen3-Coder-480B-A35B-Instruct
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base_model_relation: quantized
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---
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#
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### 【
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<i>注: 8
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```
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CONTEXT_LENGTH=32768 # 262144
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vllm serve \
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-
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--served-model-name Qwen3-Coder-480B-A35B-Instruct-GPTQ-Int4-Int8Mix \
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--enable-expert-parallel \
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--swap-space 16 \
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--port 8000
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```
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###
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```
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vllm>=0.9.2
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```
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###
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```
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2025-07-24
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1.
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```
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###
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|---------|--------------|
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| `261GB` | `2025-07-24` |
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###
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```python
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from
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snapshot_download('
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```
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###
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# Qwen3-Coder-480B-A35B-Instruct
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<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
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- Qwen/Qwen3-Coder-480B-A35B-Instruct
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base_model_relation: quantized
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---
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# Qwen3-Coder-480B-A35B-Instruct-GPTQ-Int4-Int8Mix
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Base model [Qwen/Qwen3-Coder-480B-A35B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct)
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### 【VLLM Launch Command for 8 GPUs (Single Node)】
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<i>注: Note: When launching with 8 GPUs, --enable-expert-parallel must be specified; otherwise, the expert tensors cannot be evenly split across tensor parallel ranks. This option is not required for 4-GPU setups. </i>
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```
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CONTEXT_LENGTH=32768 # 262144
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vllm serve \
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QuantTrio/Qwen3-Coder-480B-A35B-Instruct-GPTQ-Int4-Int8Mix \
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--served-model-name Qwen3-Coder-480B-A35B-Instruct-GPTQ-Int4-Int8Mix \
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--enable-expert-parallel \
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--swap-space 16 \
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--port 8000
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```
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### 【Dependencies】
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```
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vllm>=0.9.2
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```
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### 【Model Update History】
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```
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2025-07-24
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1. fast commit
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```
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### 【Model Files】
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| File Size | Last Updated |
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|---------|--------------|
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| `261GB` | `2025-07-24` |
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### 【Model Download】
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```python
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from huggingface_hub import snapshot_download
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snapshot_download('QuantTrio/Qwen3-Coder-480B-A35B-Instruct-GPTQ-Int4-Int8Mix', cache_dir="your_local_path")
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```
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### 【Description】
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# Qwen3-Coder-480B-A35B-Instruct
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<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
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