mradermacher/Qwen3.5-21B-Claude-4.6-Opus-Thinking-EXP2-GGUF

About

static quants of https://huggingface.co/DavidAU/Qwen3.5-21B-Claude-4.6-Opus-Thinking-EXP2

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.5-21B-Claude-4.6-Opus-Thinking-EXP2-i1-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	mmproj-Q8_0	0.7	multi-modal supplement
GGUF	mmproj-f16	1.0	multi-modal supplement
GGUF	Q2_K	8.1
GGUF	Q3_K_S	9.6
GGUF	Q3_K_M	10.5	lower quality
GGUF	Q3_K_L	11.0
GGUF	IQ4_XS	11.6
GGUF	Q4_K_S	12.2	fast, recommended
GGUF	Q4_K_M	12.9	fast, recommended
GGUF	Q5_K_S	14.6
GGUF	Q5_K_M	15.1
GGUF	Q6_K	17.2	very good quality
GGUF	Q8_0	22.2	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