mradermacher/Llama-4-Maverick-17B-128E-Instruct-GGUF

About

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-4-Maverick-17B-128E-Instruct-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
PART 1 PART 2 PART 3	Q2_K	145.7
PART 1 PART 2 PART 3 PART 4	Q3_K_S	172.8
PART 1 PART 2 PART 3 PART 4	Q3_K_M	191.2	lower quality
P1 P2 P3 P4 P5	Q3_K_L	207.1
P1 P2 P3 P4 P5	IQ4_XS	216.0
P1 P2 P3 P4 P5	Q4_K_S	227.9	fast, recommended
P1 P2 P3 P4 P5	Q4_K_M	242.9	fast, recommended
P1 P2 P3 P4 P5 P6	Q5_K_S	275.8
P1 P2 P3 P4 P5 P6	Q5_K_M	284.6
P1 P2 P3 P4 P5 P6 P7	Q6_K	328.9	very good quality
P1 P2 P3 P4 P5 P6 P7 P8 P9	Q8_0	425.9	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

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.