auto-patch README.md
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README.md
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static quants of https://huggingface.co/huihui-ai/Qwen2.5-3B-Instruct-abliterated
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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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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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-
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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/huihui-ai/Qwen2.5-3B-Instruct-abliterated
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-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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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.Q2_K.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.Q2_K.gguf) | Q2_K | 2.8 | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.Q3_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.Q3_K_S.gguf) | Q3_K_S | 3.1 | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.Q3_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.Q3_K_L.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.Q3_K_L.gguf) | Q3_K_L | 3.6 | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.IQ4_XS.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.IQ4_XS.gguf) | IQ4_XS | 3.8 | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.Q4_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.Q4_K_S.gguf) | Q4_K_S | 3.9 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.Q4_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.Q4_K_M.gguf) | Q4_K_M | 4.1 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.Q5_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.Q5_K_S.gguf) | Q5_K_S | 4.7 | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.Q5_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.Q5_K_M.gguf) | Q5_K_M | 4.8 | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.Q6_K.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.Q6_K.gguf) | Q6_K | 5.4 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.f16.gguf) | f16 | 6.9 | 16 bpw, overkill |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-Abliterated.Q8_0.gguf) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-3B-Instruct-abliterated-GGUF/resolve/main/Qwen2.5-3B-Instruct-abliterated.Q8_0.gguf) | Q8_0 | 7.0 | 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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