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--- |
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base_model: mlabonne/ChimeraLlama-3-8B |
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inference: false |
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library_name: transformers |
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license: other |
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merged_models: |
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- NousResearch/Meta-Llama-3-8B-Instruct |
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- mlabonne/OrpoLlama-3-8B |
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- Locutusque/Llama-3-Orca-1.0-8B |
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- abacusai/Llama-3-Smaug-8B |
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pipeline_tag: text-generation |
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quantized_by: Suparious |
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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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- autotrain_compatible |
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- endpoints_compatible |
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- merge |
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- mergekit |
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- lazymergekit |
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- llama |
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--- |
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# mlabonne/ChimeraLlama-3-8B AWQ |
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- Model creator: [mlabonne](https://huggingface.co/mlabonne) |
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- Original model: [ChimeraLlama-3-8B](https://huggingface.co/mlabonne/ChimeraLlama-3-8B) |
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## Model Summary |
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ChimeraLlama-3-8B outperforms Llama 3 8B Instruct on Nous' benchmark suite. |
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ChimeraLlama-3-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) |
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* [mlabonne/OrpoLlama-3-8B](https://huggingface.co/mlabonne/OrpoLlama-3-8B) |
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* [Locutusque/Llama-3-Orca-1.0-8B](https://huggingface.co/Locutusque/Llama-3-Orca-1.0-8B) |
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* [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B) |
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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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