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@@ -11,7 +11,7 @@ base_model:
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  base_model_relation: quantized
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  ---
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  # Kimi-K2.5-E304
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- Base model: [moonshotai/Kimi-K2.5](https://www.modelscope.cn/models/moonshotai/Kimi-K2.5)
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  This repo trims 20% of the experts (384 → 304);
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@@ -30,8 +30,8 @@ The model format and serving setup (vLLM/SGLang versions and launch commands) ma
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  ### 【Model Download】
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  ```python
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- from modelscope import snapshot_download
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- snapshot_download('tclf90/Kimi-K2.5-E304', cache_dir="your_local_path")
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  ```
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  ### 【Overview】
 
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  base_model_relation: quantized
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  ---
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  # Kimi-K2.5-E304
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+ Base model: [moonshotai/Kimi-K2.5](https://huggingface.co/moonshotai/Kimi-K2.5)
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  This repo trims 20% of the experts (384 → 304);
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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/Kimi-K2.5-E304', cache_dir="your_local_path")
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  ```
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  ### 【Overview】