auto-patch README.md
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README.md
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library_name: transformers
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license: gemma
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quantized_by: mradermacher
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---
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## About
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static quants of https://huggingface.co/Tesslate/Synthia-S1-27b
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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/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q3_K_S.gguf) | Q3_K_S | 12.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q3_K_M.gguf) | Q3_K_M | 13.5 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q3_K_L.gguf) | Q3_K_L | 14.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q4_K_S.gguf) | Q4_K_S | 15.8 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q4_K_M.gguf) | Q4_K_M | 16.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q8_0.gguf) | Q8_0 | 28.8 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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library_name: transformers
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license: gemma
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quantized_by: mradermacher
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tags:
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- generated_from_trainer
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- trl
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- sft
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---
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## About
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static quants of https://huggingface.co/Tesslate/Synthia-S1-27b
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Synthia-S1-27b-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/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q3_K_S.gguf) | Q3_K_S | 12.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q3_K_M.gguf) | Q3_K_M | 13.5 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q3_K_L.gguf) | Q3_K_L | 14.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.IQ4_XS.gguf) | IQ4_XS | 15.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q4_K_S.gguf) | Q4_K_S | 15.8 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q4_K_M.gguf) | Q4_K_M | 16.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q5_K_S.gguf) | Q5_K_S | 18.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q5_K_M.gguf) | Q5_K_M | 19.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q6_K.gguf) | Q6_K | 22.3 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Synthia-S1-27b-GGUF/resolve/main/Synthia-S1-27b.Q8_0.gguf) | Q8_0 | 28.8 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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