mradermacher
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auto-patch README.md
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README.md
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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
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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.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 |
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