mradermacher
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README.md
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static quants of https://huggingface.co/CombinHorizon/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES
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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/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q3_K_S.gguf) | Q3_K_S | 6.8 | |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q3_K_M.gguf) | Q3_K_M | 7.4 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q3_K_L.gguf) | Q3_K_L | 8.0 | |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q4_K_S.gguf) | Q4_K_S | 8.7 | fast, recommended |
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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/CombinHorizon/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-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/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q3_K_S.gguf) | Q3_K_S | 6.8 | |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q3_K_M.gguf) | Q3_K_M | 7.4 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q3_K_L.gguf) | Q3_K_L | 8.0 | |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.IQ4_XS.gguf) | IQ4_XS | 8.3 | |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q4_0_4_4.gguf) | Q4_0_4_4 | 8.6 | fast on arm, low quality |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q4_K_S.gguf) | Q4_K_S | 8.7 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q4_K_M.gguf) | Q4_K_M | 9.1 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q5_K_S.gguf) | Q5_K_S | 10.4 | |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q5_K_M.gguf) | Q5_K_M | 10.6 | |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q6_K.gguf) | Q6_K | 12.2 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES-GGUF/resolve/main/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES.Q8_0.gguf) | Q8_0 | 15.8 | 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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