mradermacher
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README.md
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static quants of https://huggingface.co/grimjim/Magnolia-v3-Gemma2-8k-9B
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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/Magnolia-v3-Gemma2-8k-9B-GGUF/resolve/main/Magnolia-v3-Gemma2-8k-9B.Q5_K_M.gguf) | Q5_K_M | 6.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Magnolia-v3-Gemma2-8k-9B-GGUF/resolve/main/Magnolia-v3-Gemma2-8k-9B.Q6_K.gguf) | Q6_K | 7.7 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Magnolia-v3-Gemma2-8k-9B-GGUF/resolve/main/Magnolia-v3-Gemma2-8k-9B.Q8_0.gguf) | Q8_0 | 9.9 | fast, best quality |
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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/grimjim/Magnolia-v3-Gemma2-8k-9B
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Magnolia-v3-Gemma2-8k-9B-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/Magnolia-v3-Gemma2-8k-9B-GGUF/resolve/main/Magnolia-v3-Gemma2-8k-9B.Q5_K_M.gguf) | Q5_K_M | 6.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Magnolia-v3-Gemma2-8k-9B-GGUF/resolve/main/Magnolia-v3-Gemma2-8k-9B.Q6_K.gguf) | Q6_K | 7.7 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Magnolia-v3-Gemma2-8k-9B-GGUF/resolve/main/Magnolia-v3-Gemma2-8k-9B.Q8_0.gguf) | Q8_0 | 9.9 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Magnolia-v3-Gemma2-8k-9B-GGUF/resolve/main/Magnolia-v3-Gemma2-8k-9B.f16.gguf) | f16 | 18.6 | 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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