mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/google/gemma-4-31B-it-qat-q4_0-unquantized

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

static quants are available at https://huggingface.co/mradermacher/gemma-4-31B-it-qat-q4_0-unquantized-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-IQ1_S	7.3	for the desperate
GGUF	i1-IQ1_M	7.8	mostly desperate
GGUF	i1-IQ2_XXS	8.8
GGUF	i1-IQ2_XS	9.6
GGUF	i1-IQ2_S	10.3
GGUF	i1-IQ2_M	11.0
GGUF	i1-Q2_K_S	11.1	very low quality
GGUF	i1-Q2_K	12.0	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	12.2	lower quality
GGUF	i1-IQ3_XS	13.2
GGUF	i1-IQ3_S	13.9	beats Q3_K*
GGUF	i1-Q3_K_S	13.9	IQ3_XS probably better
GGUF	i1-IQ3_M	14.5
GGUF	i1-Q3_K_M	15.4	IQ3_S probably better
GGUF	i1-Q3_K_L	16.7	IQ3_M probably better
GGUF	i1-IQ4_XS	16.8
GGUF	i1-Q4_0	17.8	fast, low quality
GGUF	i1-Q4_K_S	17.9	optimal size/speed/quality
GGUF	i1-Q4_K_M	18.8	fast, recommended
GGUF	i1-Q4_1	19.6

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