mradermacher/Qwen3-Coder-480B-A35B-Instruct-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct

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

static quants are available at https://huggingface.co/mradermacher/Qwen3-Coder-480B-A35B-Instruct-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	0.7	imatrix file (for creating your own quants)
PART 1 PART 2	i1-IQ1_S	97.5	for the desperate
PART 1 PART 2 PART 3	i1-IQ1_M	108.2	mostly desperate
PART 1 PART 2 PART 3	i1-IQ2_XXS	126.0
PART 1 PART 2 PART 3	i1-IQ2_XS	140.3
PART 1 PART 2 PART 3	i1-IQ2_S	142.9
PART 1 PART 2 PART 3 PART 4	i1-IQ2_M	157.1
PART 1 PART 2 PART 3 PART 4	i1-Q2_K_S	162.6	very low quality
PART 1 PART 2 PART 3 PART 4	i1-Q2_K	174.8	IQ3_XXS probably better
PART 1 PART 2 PART 3 PART 4	i1-IQ3_XXS	184.4	lower quality
PART 1 PART 2 PART 3 PART 4	i1-IQ3_XS	195.7
P1 P2 P3 P4 P5	i1-Q3_K_S	207.0	IQ3_XS probably better
P1 P2 P3 P4 P5	i1-IQ3_S	207.1	beats Q3_K*
P1 P2 P3 P4 P5	i1-IQ3_M	210.0
P1 P2 P3 P4 P5	i1-Q3_K_M	229.3	IQ3_S probably better
P1 P2 P3 P4 P5 P6	i1-Q3_K_L	248.5	IQ3_M probably better
P1 P2 P3 P4 P5 P6	i1-IQ4_XS	255.7
P1 P2 P3 P4 P5 P6	i1-Q4_0	271.7	fast, low quality
P1 P2 P3 P4 P5 P6	i1-Q4_K_S	272.9	optimal size/speed/quality
P1 P2 P3 P4 P5 P6	i1-Q4_K_M	290.2	fast, recommended
P1 P2 P3 P4 P5 P6 P7	i1-Q4_1	300.6
P1 P2 P3 P4 P5 P6 P7	i1-Q5_K_S	330.5
P1 P2 P3 P4 P5 P6 P7	i1-Q5_K_M	340.6
P1 P2 P3 P4 P5 P6 P7 P8	i1-Q6_K	394.2	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.