auto-patch README.md
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README.md
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static quants of https://huggingface.co/Qwen/Qwen2.5-32B-Instruct
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/
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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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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [GGUF](https://huggingface.co/mradermacher/
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| [PART 1](https://huggingface.co/mradermacher/
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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/Qwen/Qwen2.5-32B-Instruct
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/qwen2.5-32b-instruct-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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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.IQ3_XS.gguf) | IQ3_XS | 13.8 | |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.IQ3_S.gguf) | IQ3_S | 14.5 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.IQ3_M.gguf) | IQ3_M | 14.9 | |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.IQ4_XS.gguf) | IQ4_XS | 18.0 | |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q4_0.gguf) | Q4_0 | 18.7 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q4_0_4_4.gguf) | Q4_0_4_4 | 18.7 | fast on arm, low quality |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q4_0_4_8.gguf) | Q4_0_4_8 | 18.7 | fast on arm+i8mm, low quality |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q4_0_8_8.gguf) | Q4_0_8_8 | 18.7 | fast on arm+sve, low quality |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.IQ4_NL.gguf) | IQ4_NL | 18.9 | prefer IQ4_XS |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q4_1.gguf) | Q4_1 | 20.7 | |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q5_0.gguf) | Q5_0 | 22.7 | |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q2_K.gguf) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/qwen2.5-32b-instruct.Q2_K.gguf) | Q2_K | 24.7 | |
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| [GGUF](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q5_1.gguf) | Q5_1 | 24.7 | |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q3_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/qwen2.5-32b-instruct.Q3_K_S.gguf) | Q3_K_S | 28.9 | |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q3_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/qwen2.5-32b-instruct.Q3_K_M.gguf) | Q3_K_M | 32.0 | lower quality |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q3_K_L.gguf) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/qwen2.5-32b-instruct.Q3_K_L.gguf) | Q3_K_L | 34.6 | |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q4_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/qwen2.5-32b-instruct.Q4_K_S.gguf) | Q4_K_S | 37.7 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q4_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/qwen2.5-32b-instruct.Q4_K_M.gguf) | Q4_K_M | 39.8 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q5_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/qwen2.5-32b-instruct.Q5_K_S.gguf) | Q5_K_S | 45.4 | |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q5_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/qwen2.5-32b-instruct.Q5_K_M.gguf) | Q5_K_M | 46.6 | |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q6_K.gguf) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/qwen2.5-32b-instruct.Q6_K.gguf) | Q6_K | 53.9 | very good quality |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.SOURCE.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.SOURCE.gguf.part2of2) | SOURCE | 65.6 | source gguf, only provided when it was hard to come by |
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| [PART 1](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/Qwen2.5-32B-Instruct.Q8_0.gguf) [PART 2](https://huggingface.co/mradermacher/qwen2.5-32b-instruct-GGUF/resolve/main/qwen2.5-32b-instruct.Q8_0.gguf) | Q8_0 | 69.7 | 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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