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--- |
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base_model: Sao10K/MN-12B-Lyra-v1 |
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language: |
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- en |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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tags: |
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- 4-bit |
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- AWQ |
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- text-generation |
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- vllm |
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- aprodite |
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--- |
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# Sao10K/MN-12B-Lyra-v1 |
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- Model creator: [Sao10K](https://huggingface.co/Sao10K) |
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- Original model: [MN-12B-Lyra-v1](https://huggingface.co/Sao10K/MN-12B-Lyra-v1) |
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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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- [Aprodite](https://github.com/PygmalionAI/aphrodite-engine) version 0.3.5 and later |
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