README.md

metadata

base_model: DavidAU/Qwen3-ST-The-Next-Generation-42B
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
  - chat
  - qwen
  - chat
  - qwen
  - brainstorm 20x
  - 128k context
  - qwen3
  - finetune
  - optional thinking
  - unsloth

About

static quants of https://huggingface.co/DavidAU/Qwen3-ST-The-Next-Generation-42B

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

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.

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	Q2_K	15.8
GGUF	Q3_K_S	18.5
GGUF	Q3_K_M	20.5	lower quality
GGUF	Q3_K_L	22.3
GGUF	Q4_K_S	24.1	fast, recommended
GGUF	Q4_K_M	25.4	fast, recommended
GGUF	Q5_K_S	29.1
GGUF	Q5_K_M	29.8
GGUF	Q6_K	34.6	very good quality
GGUF	Q8_0	44.8	fast, best quality

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

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.