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--- |
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base_model: gmonsoon/Darcy-7b |
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license: apache-2.0 |
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merged_models: |
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- macadeliccc/WestLake-7B-v2-laser-truthy-dpo |
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- FelixChao/WestSeverus-7B-DPO-v2 |
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- FelixChao/Faraday-7B |
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model_creator: gmonsoon |
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model_name: Darcy-7b |
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model_type: mistral |
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pipeline_tag: text-generation |
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quantized_by: Suparious |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- macadeliccc/WestLake-7B-v2-laser-truthy-dpo |
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- FelixChao/WestSeverus-7B-DPO-v2 |
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- FelixChao/Faraday-7B |
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--- |
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# Darcy-7b - AWQ |
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- Model creator: [gmonsoon](https://huggingface.co/gmonsoon) |
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- Original model: [Darcy-7b](https://huggingface.co/gmonsoon/Darcy-7b) |
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## Model description |
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Darcy-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing). |
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- [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo) |
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- [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2) |
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- [FelixChao/Faraday-7B](https://huggingface.co/FelixChao/Faraday-7B) |
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### About AWQ |
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AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference with equivalent or better quality compared to the most commonly used GPTQ settings. |
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AWQ models are currently supported on Linux and Windows, with NVidia GPUs only. macOS users: please use GGUF models instead. |
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It is supported by: |
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- [Text Generation Webui](https://github.com/oobabooga/text-generation-webui) - using Loader: AutoAWQ |
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- [vLLM](https://github.com/vllm-project/vllm) - version 0.2.2 or later for support for all model types. |
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- [Hugging Face Text Generation Inference (TGI)](https://github.com/huggingface/text-generation-inference) |
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- [Transformers](https://huggingface.co/docs/transformers) version 4.35.0 and later, from any code or client that supports Transformers |
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- [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) - for use from Python code |
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