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--- |
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base_model: Qwen/Qwen2.5-72B-Instruct |
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language: |
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- en |
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library_name: transformers |
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license: other |
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license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE |
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license_name: qwen |
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quantized_by: mradermacher |
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tags: |
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- chat |
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--- |
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## About |
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<!-- ### quantize_version: 2 --> |
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<!-- ### output_tensor_quantised: 1 --> |
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<!-- ### convert_type: hf --> |
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<!-- ### vocab_type: --> |
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<!-- ### tags: --> |
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static quants of https://huggingface.co/Qwen/Qwen2.5-72B-Instruct |
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<!-- provided-files --> |
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-72B-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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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for |
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more details, including on how to concatenate multi-part files. |
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## Provided Quants |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
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| Link | Type | Size/GB | Notes | |
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|:-----|:-----|--------:|:------| |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q2_K.gguf) | Q2_K | 29.9 | | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.IQ3_XS.gguf) | IQ3_XS | 32.9 | | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.IQ3_S.gguf) | IQ3_S | 34.6 | beats Q3_K* | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q3_K_S.gguf) | Q3_K_S | 34.6 | | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.IQ3_M.gguf) | IQ3_M | 35.6 | | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q3_K_M.gguf) | Q3_K_M | 37.8 | lower quality | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q3_K_L.gguf) | Q3_K_L | 39.6 | | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.IQ4_XS.gguf) | IQ4_XS | 40.3 | | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q4_0.gguf) | Q4_0 | 41.3 | fast, low quality | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q4_0_4_4.gguf) | Q4_0_4_4 | 41.3 | fast on arm, low quality | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q4_0_4_8.gguf) | Q4_0_4_8 | 41.3 | fast on arm+i8mm, low quality | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q4_0_8_8.gguf) | Q4_0_8_8 | 41.3 | fast on arm+sve, low quality | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.IQ4_NL.gguf) | IQ4_NL | 41.9 | prefer IQ4_XS | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q4_K_S.gguf) | Q4_K_S | 44.0 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q4_1.gguf) | Q4_1 | 45.8 | | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q4_K_M.gguf) | Q4_K_M | 47.5 | fast, recommended | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q5_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q5_0.gguf.part2of2) | Q5_0 | 50.3 | | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q5_K_S.gguf.part2of2) | Q5_K_S | 51.5 | | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q5_K_M.gguf.part2of2) | Q5_K_M | 54.5 | | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q5_1.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q5_1.gguf.part2of2) | Q5_1 | 54.7 | | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q6_K.gguf.part2of2) | Q6_K | 64.4 | very good quality | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.Q8_0.gguf.part2of2) | Q8_0 | 77.4 | fast, best quality | |
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| [PART 1](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.SOURCE.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.SOURCE.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-GGUF/resolve/main/Qwen2.5-72B-Instruct.SOURCE.gguf.part3of3) | SOURCE | 145.5 | source gguf, only provided when it was hard to come by | |
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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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And here are Artefact2's thoughts on the matter: |
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
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## FAQ / Model Request |
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See https://huggingface.co/mradermacher/model_requests for some answers to |
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questions you might have and/or if you want some other model quantized. |
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## Thanks |
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting |
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me use its servers and providing upgrades to my workstation to enable |
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this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. |
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