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auto-patch README.md
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README.md
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static quants of https://huggingface.co/sapienzanlp/Minerva-3B-base-v1.0
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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/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q2_K.gguf) | Q2_K | 1.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q3_K_S.gguf) | Q3_K_S | 1.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q3_K_M.gguf) | Q3_K_M | 1.5 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q4_K_S.gguf) | Q4_K_S | 1.8 | fast, recommended |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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static quants of https://huggingface.co/sapienzanlp/Minerva-3B-base-v1.0
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-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/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q2_K.gguf) | Q2_K | 1.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q3_K_S.gguf) | Q3_K_S | 1.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q3_K_M.gguf) | Q3_K_M | 1.5 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q3_K_L.gguf) | Q3_K_L | 1.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.IQ4_XS.gguf) | IQ4_XS | 1.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q4_0_4_4.gguf) | Q4_0_4_4 | 1.8 | fast on arm, low quality |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q4_K_S.gguf) | Q4_K_S | 1.8 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q4_K_M.gguf) | Q4_K_M | 1.9 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q5_K_S.gguf) | Q5_K_S | 2.1 | |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q5_K_M.gguf) | Q5_K_M | 2.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q6_K.gguf) | Q6_K | 2.5 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.Q8_0.gguf) | Q8_0 | 3.2 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Minerva-3B-base-v1.0-GGUF/resolve/main/Minerva-3B-base-v1.0.f16.gguf) | f16 | 5.9 | 16 bpw, overkill |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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