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@@ -25,7 +25,7 @@ static quants of https://huggingface.co/tablegpt/TableGPT-R1
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  ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#TableGPT-R1-GGUF).***
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- weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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  ## Usage
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  If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -40,7 +40,9 @@ more details, including on how to concatenate multi-part files.
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  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q2_K.gguf) | Q2_K | 3.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q3_K_L.gguf) | Q3_K_L | 4.5 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |
 
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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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  ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#TableGPT-R1-GGUF).***
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/TableGPT-R1-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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  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q2_K.gguf) | Q2_K | 3.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q3_K_L.gguf) | Q3_K_L | 4.5 | |
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+ | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.IQ4_XS.gguf) | IQ4_XS | 4.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-GGUF/resolve/main/TableGPT-R1.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |
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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.f16.gguf) | f16 | 16.5 | 16 bpw, overkill |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant