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@@ -4,11 +4,28 @@ license_link: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENS
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  language:
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  - en
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  pipeline_tag: text-generation
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- base_model: Qwen/Qwen2.5-1.5B
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  tags:
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  - chat
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- library_name: transformers
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Qwen2.5-1.5B-Instruct
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  language:
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  - en
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  pipeline_tag: text-generation
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+ base_model: Qwen/Qwen2.5-1.5B-Instruct
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  tags:
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  - chat
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+ library_name: Exllamav2
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  ---
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+ # Qwen2.5-1.5B-Instruct-exl2
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+ Model: [Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
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+ Creator: [Qwen](https://huggingface.co/Qwen)
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+
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+ ## Quants
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+ [4bpw h6 (main)](https://huggingface.co/cgus/Qwen2.5-1.5B-Instruct-exl2/tree/main)
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+ [4.5bpw h6](https://huggingface.co/cgus/Qwen2.5-1.5B-Instruct-exl2/tree/4.5bpw-h6)
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+ [5bpw h6](https://huggingface.co/cgus/Qwen2.5-1.5B-Instruct-exl2/tree/5bpw-h6)
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+ [5.5bpw h6](https://huggingface.co/cgus/Qwen2.5-1.5B-Instruct-exl2/tree/5.5bpw-h6)
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+ [6bpw h6](https://huggingface.co/cgus/Qwen2.5-1.5B-Instruct-exl2/tree/6bpw-h6)
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+ [6.5bpw h8](https://huggingface.co/cgus/Qwen2.5-1.5B-Instruct-exl2/tree/6.5bpw-h8)
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+ [8bpw h8](https://huggingface.co/cgus/Qwen2.5-1.5B-Instruct-exl2/tree/8bpw-h8)
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+
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+ ## Quantization notes
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+ Made with Exllamav2 0.2.4 with the default dataset.
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+ These quants might be useful as a draft model for 32B/70B model with TabbyAPI.
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+ Exllamav2 supports Nvidia RTX GPUs on Windows and Nvidia RTX and ROCm AMD cards on Linux.
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  # Qwen2.5-1.5B-Instruct
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