About

weighted/imatrix quants of https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E

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

static quants are available at https://huggingface.co/mradermacher/Llama-4-Maverick-17B-128E-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
PART 1 PART 2 i1-IQ1_S 80.7 for the desperate
PART 1 PART 2 i1-IQ1_M 89.8 mostly desperate
PART 1 PART 2 PART 3 i1-IQ2_XXS 104.8
PART 1 PART 2 PART 3 i1-IQ2_XS 117.0
PART 1 PART 2 PART 3 i1-IQ2_S 118.4
PART 1 PART 2 PART 3 i1-IQ2_M 130.4
PART 1 PART 2 PART 3 i1-Q2_K_S 136.1 very low quality
PART 1 PART 2 PART 3 i1-Q2_K 145.7 IQ3_XXS probably better
PART 1 PART 2 PART 3 PART 4 i1-IQ3_XXS 153.9 lower quality
PART 1 PART 2 PART 3 PART 4 i1-IQ3_XS 163.4
PART 1 PART 2 PART 3 PART 4 i1-Q3_K_S 172.8 IQ3_XS probably better
PART 1 PART 2 PART 3 PART 4 i1-IQ3_S 172.8 beats Q3_K*
PART 1 PART 2 PART 3 PART 4 i1-IQ3_M 175.1
PART 1 PART 2 PART 3 PART 4 i1-Q3_K_M 191.2 IQ3_S probably better
P1 P2 P3 P4 P5 i1-Q3_K_L 207.1 IQ3_M probably better
P1 P2 P3 P4 P5 i1-IQ4_XS 213.4
P1 P2 P3 P4 P5 i1-Q4_0 226.9 fast, low quality
P1 P2 P3 P4 P5 i1-Q4_K_S 227.9 optimal size/speed/quality
P1 P2 P3 P4 P5 i1-Q4_K_M 242.9 fast, recommended
P1 P2 P3 P4 P5 P6 i1-Q4_1 250.8
P1 P2 P3 P4 P5 P6 i1-Q5_K_S 275.8
P1 P2 P3 P4 P5 P6 i1-Q5_K_M 284.6
P1 P2 P3 P4 P5 P6 P7 i1-Q6_K 328.9 practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

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.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for mradermacher/Llama-4-Maverick-17B-128E-i1-GGUF

Finetuned
(8)
this model