mradermacher/Ling-1T-GGUF

About

static quants of https://huggingface.co/inclusionAI/Ling-1T

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ling-1T-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
P1 P2 P3 P4 P5 P6 P7 P8	Q2_K	363.2
P1 P2 P3 P4 P5 P6 P7 P8 P9	Q3_K_S	430.7
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10	Q3_K_M	476.6	lower quality
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11	Q3_K_L	517.7
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11	IQ4_XS	536.3
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12	Q4_K_S	566.6	fast, recommended
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13	Q4_K_M	604.3	fast, recommended
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14	Q5_K_S	688.1
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17	Q5_K_M	709.7
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17	Q6_K	820.7	very good quality
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22	Q8_0	1062.8	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.