About
static quants of https://huggingface.co/Replete-AI/Kronos-703B
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 |
---|---|---|---|
P1 P2 P3 P4 P5 P6 | Q2_K | 267.5 | |
P1 P2 P3 P4 P5 P6 | IQ3_XS | 289.4 | |
P1 P2 P3 P4 P5 P6 P7 | IQ3_S | 303.1 | beats Q3_K* |
P1 P2 P3 P4 P5 P6 P7 | Q3_K_S | 303.1 | |
P1 P2 P3 P4 P5 P6 P7 | IQ3_M | 326.4 | |
P1 P2 P3 P4 P5 P6 P7 P8 | Q3_K_M | 353.4 | lower quality |
P1 P2 P3 P4 P5 P6 P7 P8 | IQ4_XS | 383.6 | |
P1 P2 P3 P4 P5 P6 P7 P8 P9 | Q3_K_L | 393.6 | |
P1 P2 P3 P4 P5 P6 P7 P8 P9 | IQ4_NL | 403.7 | prefer IQ4_XS |
P1 P2 P3 P4 P5 P6 P7 P8 P9 | Q4_K_S | 403.7 | fast, recommended |
P1 P2 P3 P4 P5 P6 P7 P8 P9 | Q4_K_M | 434.1 | fast, recommended |
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 | Q5_K_S | 484.2 | |
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 | Q5_K_M | 503.6 | |
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 | Q6_K | 577.4 | very good quality |
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 | Q8_0 | 747.5 | fast, best quality |
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 P27 P28 P29 P30 P31 P32 | SOURCE | 1405.9 | source gguf, only provided when it was hard to come by |
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.
Model tree for mradermacher/Kronos-703B-GGUF
Base model
Replete-AI/Kronos-703B