Transformers
GGUF
programming
code generation
code
codeqwen
Mixture of Experts
coding
coder
qwen2
chat
qwen
qwen-coder
Qwen3-Coder-30B-A3B-Instruct
Qwen3-30B-A3B
mixture of experts
128 experts
8 active experts
1 million context
qwen3
finetune
brainstorm 20x
brainstorm
optional thinking
qwen3_moe
unsloth
conversational
auto-patch README.md
Browse files
README.md
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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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<!-- ### quants_skip: -->
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<!-- ### skip_mmproj: -->
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static quants of https://huggingface.co/DavidAU/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-Horror
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---
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base_model: DavidAU/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-Horror
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datasets:
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- DavidAU/horror-nightmare1
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language:
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- en
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- fr
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- zh
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- de
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library_name: transformers
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license: apache-2.0
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mradermacher:
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readme_rev: 1
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quantized_by: mradermacher
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tags:
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- programming
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- code generation
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- code
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- codeqwen
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- programming
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- code generation
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- code
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- codeqwen
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- moe
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- coding
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- coder
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- qwen2
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- chat
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- qwen
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- qwen-coder
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- chat
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- qwen
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- qwen-coder
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- moe
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- Qwen3-Coder-30B-A3B-Instruct
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- Qwen3-30B-A3B
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- mixture of experts
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- 128 experts
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- 8 active experts
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- 1 million context
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- qwen3
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- finetune
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- brainstorm 20x
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- brainstorm
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- optional thinking
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- qwen3_moe
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- unsloth
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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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<!-- ### quants_skip: -->
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<!-- ### skip_mmproj: -->
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static quants of https://huggingface.co/DavidAU/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-Horror
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<!-- provided-files -->
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-Horror-GGUF).***
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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/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-Horror-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-Horror.Q4_K_S.gguf) | Q4_K_S | 24.3 | 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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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.
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<!-- end -->
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