Transformers
GGUF
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Inference Endpoints
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@@ -18,7 +18,7 @@ quantized_by: mradermacher
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  static quants of https://huggingface.co/VMware/open-llama-7b-open-instruct
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  <!-- provided-files -->
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- weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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  ## Usage
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  If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -34,9 +34,11 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q2_K.gguf) | Q2_K | 2.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q3_K_S.gguf) | Q3_K_S | 3.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
 
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q4_K_M.gguf) | Q4_K_M | 4.2 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q5_K_S.gguf) | Q5_K_S | 4.8 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.f16.gguf) | f16 | 13.6 | 16 bpw, overkill |
 
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  static quants of https://huggingface.co/VMware/open-llama-7b-open-instruct
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  <!-- provided-files -->
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/open-llama-7b-open-instruct-i1-GGUF
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  ## Usage
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  If you are unsure how to use GGUF files, refer to one of [TheBloke's
 
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q2_K.gguf) | Q2_K | 2.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q3_K_S.gguf) | Q3_K_S | 3.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.IQ4_XS.gguf) | IQ4_XS | 3.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q4_K_M.gguf) | Q4_K_M | 4.2 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q5_K_S.gguf) | Q5_K_S | 4.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q5_K_M.gguf) | Q5_K_M | 4.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
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  | [GGUF](https://huggingface.co/mradermacher/open-llama-7b-open-instruct-GGUF/resolve/main/open-llama-7b-open-instruct.f16.gguf) | f16 | 13.6 | 16 bpw, overkill |