mradermacher/grok-1-GGUF

About

static quants of https://huggingface.co/xai-org/grok-1

weighted/imatrix quants are available at https://huggingface.co/mradermacher/grok-1-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	116.3
PART 1 PART 2 PART 3	IQ3_XS	130.2
PART 1 PART 2 PART 3	IQ3_S	137.6	beats Q3_K*
PART 1 PART 2 PART 3	Q3_K_S	137.6
PART 1 PART 2 PART 3	IQ3_M	144.4
PART 1 PART 2 PART 3 PART 4	Q3_K_M	152.1	lower quality
PART 1 PART 2 PART 3 PART 4	Q3_K_L	163.5
PART 1 PART 2 PART 3 PART 4	IQ4_XS	171.3
PART 1 PART 2 PART 3 PART 4	Q4_K_S	180.7	fast, recommended
PART 1 PART 2 PART 3 PART 4	Q4_K_M	192.3	fast, recommended
P1 P2 P3 P4 P5	Q5_K_S	218.1
P1 P2 P3 P4 P5	Q5_K_M	225.0
P1 P2 P3 P4 P5 P6	Q6_K	259.9	very good quality
P1 P2 P3 P4 P5 P6 P7	Q8_0	336.4	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.