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README.md
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static quants of https://huggingface.co/lunahr/thea-c-3b-25r
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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/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q3_K_S.gguf) | Q3_K_S | 1.6 | |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q3_K_M.gguf) | Q3_K_M | 1.8 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q3_K_L.gguf) | Q3_K_L | 1.9 | |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q4_K_S.gguf) | Q4_K_S | 2.0 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q4_K_M.gguf) | Q4_K_M | 2.1 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q6_K.gguf) | Q6_K | 2.7 | very good 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/lunahr/thea-c-3b-25r
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/thea-c-3b-25r-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/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q3_K_S.gguf) | Q3_K_S | 1.6 | |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q3_K_M.gguf) | Q3_K_M | 1.8 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q3_K_L.gguf) | Q3_K_L | 1.9 | |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.IQ4_XS.gguf) | IQ4_XS | 1.9 | |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q4_K_S.gguf) | Q4_K_S | 2.0 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q4_K_M.gguf) | Q4_K_M | 2.1 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q5_K_S.gguf) | Q5_K_S | 2.4 | |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q5_K_M.gguf) | Q5_K_M | 2.4 | |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q6_K.gguf) | Q6_K | 2.7 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.Q8_0.gguf) | Q8_0 | 3.5 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/thea-c-3b-25r-GGUF/resolve/main/thea-c-3b-25r.f16.gguf) | f16 | 6.5 | 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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