mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF

---

base_model: DavidAU/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV datasets:

• DavidAU/ST-TheNextGeneration

language:

• en
• fr
• zh
• de

library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags:

• programming
• code generation
• code
• codeqwen
• programming
• code generation
• code
• codeqwen
• moe
• coding
• coder
• qwen2
• chat
• qwen
• qwen-coder
• chat
• qwen
• qwen-coder
• moe
• 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

---

About

weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	imatrix	0.3	imatrix file (for creating your own quants)
GGUF	i1-IQ1_S	8.9	for the desperate
GGUF	i1-IQ1_M	9.8	mostly desperate
GGUF	i1-IQ2_XXS	11.4
GGUF	i1-IQ2_XS	12.6
GGUF	i1-IQ2_S	12.9
GGUF	i1-IQ2_M	14.1
GGUF	i1-Q2K_S	14.6	very low quality
GGUF	i1-Q2K	15.7	IQ3XXS probably better
GGUF	i1-IQ3_XXS	16.5	lower quality
GGUF	i1-IQ3_XS	17.5
GGUF	i1-Q3KS	18.5	IQ3XS probably better
GGUF	i1-IQ3S	18.5	beats Q3K*
GGUF	i1-IQ3_M	18.8
GGUF	i1-Q3KM	20.5	IQ3S probably better
GGUF	i1-Q3KL	22.1	IQ3M probably better
GGUF	i1-IQ4_XS	22.8
GGUF	i1-Q4_0	24.2	fast, low quality
GGUF	i1-Q4K_S	24.3	optimal size/speed/quality
GGUF	i1-Q4K_M	25.8	fast, recommended
GGUF	i1-Q4_1	26.7
GGUF	i1-Q5K_S	29.3
GGUF	i1-Q5K_M	30.2
GGUF	i1-Q6K	34.9	practically like static Q6K

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

!image.png

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to @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.