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/allura-org/Teleut-7b
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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/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q8_0.gguf) | Q8_0 | 8.2 | 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/allura-org/Teleut-7b
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Teleut-7b-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/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q4_0_4_4.gguf) | Q4_0_4_4 | 4.5 | fast on arm, low quality |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Teleut-7b-GGUF/resolve/main/Teleut-7b.f16.gguf) | f16 | 15.3 | 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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