feihu.hf
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df5bf01
update config.json
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README.md
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@@ -28,7 +28,7 @@ Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we rele
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- Number of Paramaters (Non-Embedding): 0.36B
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- Number of Layers: 24
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- Number of Attention Heads (GQA): 14 for Q and 2 for KV
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- Quantization: q2_K, q3_K_M, q4_0, q4_K_M, q5_0, q5_K_M, q6_K, q8_0
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For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2.5/), [GitHub](https://github.com/QwenLM/Qwen2.5), and [Documentation](https://qwen.readthedocs.io/en/latest/).
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- Number of Paramaters (Non-Embedding): 0.36B
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- Number of Layers: 24
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- Number of Attention Heads (GQA): 14 for Q and 2 for KV
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- Context Length: Full 32,768 tokens and generation 8192 tokens
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- Quantization: q2_K, q3_K_M, q4_0, q4_K_M, q5_0, q5_K_M, q6_K, q8_0
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For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2.5/), [GitHub](https://github.com/QwenLM/Qwen2.5), and [Documentation](https://qwen.readthedocs.io/en/latest/).
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