mradermacher/Qwen3.8-27b-noslop-v2-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/RefinedNeuro/Qwen3.8-27b-noslop-v2

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.8-27b-noslop-v2-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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	0.1	imatrix file (for creating your own quants)
GGUF	i1-Q2_K	11.0	IQ3_XXS probably better
GGUF	i1-Q3_K_S	12.4	IQ3_XS probably better
GGUF	i1-IQ3_S	12.7	beats Q3_K*
GGUF	i1-IQ3_M	12.9
GGUF	i1-Q3_K_M	13.6	IQ3_S probably better
GGUF	i1-Q3_K_L	14.7	IQ3_M probably better
GGUF	i1-IQ4_XS	15.4
GGUF	i1-Q4_0	15.9	fast, low quality
GGUF	i1-Q4_K_S	15.9	optimal size/speed/quality
GGUF	i1-Q4_K_M	16.9	fast, recommended
GGUF	i1-Q4_1	17.4
GGUF	i1-Q5_K_S	19.1
GGUF	i1-Q5_K_M	19.6
GGUF	i1-Q6_K	22.5	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