auto-patch README.md
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README.md
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@@ -34,9 +34,15 @@ more details, including on how to concatenate multi-part files.
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q2_K.gguf) | Q2_K | 3.1 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.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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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q2_K.gguf) | Q2_K | 3.1 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained-GGUF/resolve/main/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained.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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