GGUF
QwQ-32B
reasoning
thinking
r1
cot
deepseek
Qwen2.5
Hermes
DeepHermes
DeepSeek
DeepSeek-R1-Distill
128k context
Merge
Uncensored
creative
general usage
problem solving
brainstorming
solve riddles
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
story
writing
fiction
roleplaying
swearing
horror
Qwen 2.5
mergekit
conversational
Commit
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f8a908a
verified
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Parent(s):
Duplicate from mradermacher/Qwen2.5-QwQ-32B-Four-Banger-GGUF
Browse filesCo-authored-by: team mradermacher <[email protected]>
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- README.md +74 -0
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README.md
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---
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base_model: DavidAU/Qwen2.5-QwQ-32B-Four-Banger
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language:
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- en
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library_name: transformers
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quantized_by: mradermacher
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tags:
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- QwQ-32B
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- reasoning
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- thinking
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- r1
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- cot
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- deepseek
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- Qwen2.5
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- Hermes
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- DeepHermes
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- DeepSeek
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- DeepSeek-R1-Distill
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- 128k context
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- merge
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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/DavidAU/Qwen2.5-QwQ-32B-Four-Banger
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<!-- provided-files -->
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weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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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-QwQ-32B-Four-Banger-GGUF/resolve/main/Qwen2.5-QwQ-32B-Four-Banger.Q2_K.gguf) | Q2_K | 12.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-QwQ-32B-Four-Banger-GGUF/resolve/main/Qwen2.5-QwQ-32B-Four-Banger.Q3_K_S.gguf) | Q3_K_S | 14.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-QwQ-32B-Four-Banger-GGUF/resolve/main/Qwen2.5-QwQ-32B-Four-Banger.Q3_K_M.gguf) | Q3_K_M | 16.0 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-QwQ-32B-Four-Banger-GGUF/resolve/main/Qwen2.5-QwQ-32B-Four-Banger.Q3_K_L.gguf) | Q3_K_L | 17.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-QwQ-32B-Four-Banger-GGUF/resolve/main/Qwen2.5-QwQ-32B-Four-Banger.Q4_K_S.gguf) | Q4_K_S | 18.9 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-QwQ-32B-Four-Banger-GGUF/resolve/main/Qwen2.5-QwQ-32B-Four-Banger.Q4_K_M.gguf) | Q4_K_M | 19.9 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-QwQ-32B-Four-Banger-GGUF/resolve/main/Qwen2.5-QwQ-32B-Four-Banger.Q5_K_S.gguf) | Q5_K_S | 22.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-QwQ-32B-Four-Banger-GGUF/resolve/main/Qwen2.5-QwQ-32B-Four-Banger.Q6_K.gguf) | Q6_K | 27.0 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-QwQ-32B-Four-Banger-GGUF/resolve/main/Qwen2.5-QwQ-32B-Four-Banger.Q8_0.gguf) | Q8_0 | 34.9 | 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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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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<!-- end -->
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