About

weighted/imatrix quants of https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905

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

static quants are available at https://huggingface.co/mradermacher/Kimi-K2-Instruct-0905-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 1.6 imatrix file (for creating your own quants)
P1 P2 P3 P4 P5 i1-IQ1_S 204.5 for the desperate
P1 P2 P3 P4 P5 i1-IQ1_M 228.0 mostly desperate
P1 P2 P3 P4 P5 P6 i1-IQ2_XXS 267.2
P1 P2 P3 P4 P5 P6 P7 i1-IQ2_XS 298.7
P1 P2 P3 P4 P5 P6 P7 i1-IQ2_S 301.0
P1 P2 P3 P4 P5 P6 P7 i1-IQ2_M 332.4
P1 P2 P3 P4 P5 P6 P7 P8 i1-Q2_K_S 346.1 very low quality
P1 P2 P3 P4 P5 P6 P7 P8 i1-Q2_K 373.0 IQ3_XXS probably better
P1 P2 P3 P4 P5 P6 P7 P8 i1-IQ3_XXS 394.3 lower quality
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 i1-IQ3_XS 417.9
P1 P2 P3 P4 P5 P6 P7 P8 P9 i1-IQ3_S 442.2 beats Q3_K*
P1 P2 P3 P4 P5 P6 P7 P8 P9 i1-Q3_K_S 442.2 IQ3_XS probably better
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 i1-IQ3_M 447.2
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 i1-Q3_K_M 489.2 IQ3_S probably better
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 i1-Q3_K_L 530.6 IQ3_M probably better
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 i1-IQ4_XS 546.3
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 i1-Q4_0 580.5 fast, low quality
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 i1-Q4_K_S 582.6 optimal size/speed/quality
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 i1-Q4_K_M 620.7 fast, recommended
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 i1-Q4_1 642.4
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 i1-Q5_K_S 706.5
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 i1-Q5_K_M 728.3
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 i1-Q6_K 842.7 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
61
GGUF
Hardware compatibility
Log In to view the estimation

We're not able to determine the quantization variants.

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for mradermacher/Kimi-K2-Instruct-0905-i1-GGUF

Quantized
(21)
this model