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license: apache-2.0
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tags:
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- code generation
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# AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
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[[🤗 HuggingFace](https://huggingface.co/internlm/AlchemistCoder-DS-6.7B)]
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license: apache-2.0
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base_model: internlm/AlchemistCoder-DS-6.7B
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tags:
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- code generation
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# AlchemistCoder-DS-6.7B-exl2
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Original model: [AlchemistCoder-DS-6.7B](https://huggingface.co/internlm/AlchemistCoder-DS-6.7B)
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Model creator: [internlm](https://huggingface.co/internlm)
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## Quants
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[4bpw h6](https://huggingface.co/cgus/AlchemistCoder-DS-6.7B-exl2/tree/main)
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[4.25bpw h6](https://huggingface.co/cgus/AlchemistCoder-DS-6.7B-exl2/tree/4.25bpw-h6)
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[4.65bpw h6](https://huggingface.co/cgus/AlchemistCoder-DS-6.7B-exl2/tree/4.65bpw-h6)
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[5bpw h6](https://huggingface.co/cgus/AlchemistCoder-DS-6.7B-exl2/tree/5bpw-h6)
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[6bpw h6](https://huggingface.co/cgus/AlchemistCoder-DS-6.7B-exl2/tree/6bpw-h6)
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[8bpw h8](https://huggingface.co/cgus/AlchemistCoder-DS-6.7B-exl2/tree/8bpw-h8)
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## Quantization notes
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Made with Exllamav2 0.1.3 with the default dataset.
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## How to run
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This model is meant to be used with Exllamav2 loader that requires the model to be fully loaded into GPU VRAM.
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It primarily requires a Nvidia RTX card on Windows/Linux or AMD card on Linux.
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If you want to use this model but your system doesn't meet these requirements, you should look for GGUF versions of the model.
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It can be used with such apps like:
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[Text Generation Webui](https://github.com/oobabooga/text-generation-webui)
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[KoboldAI](https://github.com/henk717/KoboldAI)
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[ExUI](https://github.com/turboderp/exui)
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[lollms-webui](https://github.com/ParisNeo/lollms-webui)
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# Original model card
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# AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
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[[🤗 HuggingFace](https://huggingface.co/internlm/AlchemistCoder-DS-6.7B)]
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