mradermacher
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README.md
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---
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base_model:
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exported_from: aaditya/OpenBioLLM-Llama3-70B
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language:
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- en
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library_name: transformers
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<!-- ### vocab_type: -->
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weighted/imatrix quants of https://huggingface.co/aaditya/OpenBioLLM-Llama3-70B
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<!-- provided-files -->
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static quants are available at https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-GGUF
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## Usage
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-IQ2_M.gguf) | i1-IQ2_M | 24.2 | |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.6 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 31.0 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 34.4 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 37.2 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 38.0 | |
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And here are Artefact2's thoughts on the matter:
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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## Thanks
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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---
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base_model: aaditya/OpenBioLLM-Llama3-70B
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language:
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- en
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library_name: transformers
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<!-- ### vocab_type: -->
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weighted/imatrix quants of https://huggingface.co/aaditya/OpenBioLLM-Llama3-70B
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<!-- provided-files -->
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static quants are available at https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-GGUF
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## Usage
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-IQ2_M.gguf) | i1-IQ2_M | 24.2 | |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.6 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 29.4 | |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-IQ3_S.gguf) | i1-IQ3_S | 31.0 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 31.0 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-IQ3_M.gguf) | i1-IQ3_M | 32.0 | |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 34.4 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 37.2 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/OpenBioLLM-Llama3-70B-i1-GGUF/resolve/main/OpenBioLLM-Llama3-70B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 38.0 | |
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And here are Artefact2's thoughts on the matter:
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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## FAQ / Model Request
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See https://huggingface.co/mradermacher/model_requests for some answers to
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questions you might have and/or if you want some other model quantized.
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## Thanks
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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