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@@ -1,6 +1,5 @@
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  ---
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- base_model: meta-llama/Meta-Llama-3-70B-Instruct
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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
@@ -26,7 +25,6 @@ tags:
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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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-
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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
@@ -44,7 +42,10 @@ more details, including on how to concatenate multi-part files.
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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 | |
@@ -64,6 +65,11 @@ types (lower is better):
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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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+
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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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+
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  ## Thanks
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  I thank my company, [nethype GmbH](https://www.nethype.de/), for letting