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  GPTQ quants require a good dataset for calibration, and the default C4 dataset is not capable.
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  **llama.cpp GGUF models**
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- GPT2Tokenizer fixed by [Kerfuffle](https://github.com/KerfuffleV2) on [https://github.com/ggerganov/llama.cpp/pull/3743](https://github.com/ggerganov/llama.cpp/pull/3743), new models to be reuploaded.
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  ## Read Me:
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  **llama.cpp GGUF models**
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  GPT2Tokenizer 支持由 [Kerfuffle](https://github.com/KerfuffleV2) 修复于 [https://github.com/ggerganov/llama.cpp/pull/3743](https://github.com/ggerganov/llama.cpp/pull/3743),新模型稍后上传。
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  ## 请读我:
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  另请参阅[14B版本](https://huggingface.co/CausalLM/14B)
 
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  GPTQ quants require a good dataset for calibration, and the default C4 dataset is not capable.
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  **llama.cpp GGUF models**
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+ GPT2Tokenizer fixed by [Kerfuffle](https://github.com/KerfuffleV2) on [https://github.com/ggerganov/llama.cpp/pull/3743](https://github.com/ggerganov/llama.cpp/pull/3743), new models are reuploaded.
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+ Thanks TheBloke for GGUF quants: [https://huggingface.co/TheBloke/CausalLM-7B-GGUF](https://huggingface.co/TheBloke/CausalLM-7B-GGUF)
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  ## Read Me:
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  **llama.cpp GGUF models**
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  GPT2Tokenizer 支持由 [Kerfuffle](https://github.com/KerfuffleV2) 修复于 [https://github.com/ggerganov/llama.cpp/pull/3743](https://github.com/ggerganov/llama.cpp/pull/3743),新模型稍后上传。
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+ 感谢 TheBloke 制作 GGUF 版本量化模型: [https://huggingface.co/TheBloke/CausalLM-7B-GGUF](https://huggingface.co/TheBloke/CausalLM-7B-GGUF)
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  ## 请读我:
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  另请参阅[14B版本](https://huggingface.co/CausalLM/14B)