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TableGPT-R1-GGUF

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@@ -47,6 +47,7 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q5_K_S.gguf) | Q5_K_S | 5.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q5_K_M.gguf) | Q5_K_M | 6.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q6_K.gguf) | Q6_K | 6.8 | very good quality |
 
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.f16.gguf) | f16 | 16.5 | 16 bpw, overkill |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q5_K_S.gguf) | Q5_K_S | 5.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q5_K_M.gguf) | Q5_K_M | 6.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q6_K.gguf) | Q6_K | 6.8 | very good quality |
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+ | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q8_0.gguf) | Q8_0 | 8.8 | fast, best quality |
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.f16.gguf) | f16 | 16.5 | 16 bpw, overkill |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant