base_model: Qwen/Qwen3-235B-A22B-Thinking-2507
language:
- en
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507/blob/main/LICENSE
mradermacher:
readme_rev: 1
quantized_by: mradermacher
About
weighted/imatrix quants of https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/Qwen3-235B-A22B-Thinking-2507-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 | 0.6 | imatrix file (for creating your own qwuants) |
| PART 1 PART 2 | i1-IQ2_M | 77.3 | |
| PART 1 PART 2 | i1-Q2_K | 85.8 | IQ3_XXS probably better |
| PART 1 PART 2 | i1-IQ3_XXS | 90.5 | lower quality |
| PART 1 PART 2 PART 3 | i1-Q3_K_S | 101.5 | IQ3_XS probably better |
| PART 1 PART 2 PART 3 | i1-IQ3_M | 103.2 | |
| PART 1 PART 2 PART 3 | i1-Q3_K_M | 112.5 | IQ3_S probably better |
| PART 1 PART 2 PART 3 | i1-IQ4_XS | 125.4 | |
| PART 1 PART 2 PART 3 | i1-Q4_K_S | 133.8 | optimal size/speed/quality |
| PART 1 PART 2 PART 3 | i1-Q4_K_M | 142.3 | fast, recommended |
| PART 1 PART 2 PART 3 PART 4 | i1-Q6_K | 193.1 | practically like static Q6_K |
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. 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.