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About

weighted/imatrix quants of https://huggingface.co/NobodyExistsOnTheInternet/Llama-2-70b-x8-MoE-clown-truck

No IQ1_S is available because llama.cpp is a crashfest atm. and crashes when trying to generate it.

static quants are available at https://huggingface.co/mradermacher/Llama-2-70b-x8-MoE-clown-truck-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 PART 4 i1-IQ2_M 153.4
PART 1 PART 2 PART 3 PART 4 i1-Q2_K 170.8 IQ3_XXS probably better
PART 1 PART 2 PART 3 PART 4 i1-IQ3_XXS 180.2 lower quality
PART 1 PART 2 PART 3 PART 4 i1-IQ3_XS 190.5
P1 P2 P3 P4 P5 i1-IQ3_S 202.0 beats Q3_K*
P1 P2 P3 P4 P5 i1-Q3_K_S 202.0 IQ3_XS probably better
P1 P2 P3 P4 P5 i1-IQ3_M 211.9
P1 P2 P3 P4 P5 i1-Q3_K_M 223.1 IQ3_S probably better
P1 P2 P3 P4 P5 i1-Q3_K_L 239.3 IQ3_M probably better
P1 P2 P3 P4 P5 P6 i1-IQ4_XS 248.3
P1 P2 P3 P4 P5 P6 i1-Q4_K_S 264.9 optimal size/speed/quality
P1 P2 P3 P4 P5 P6 i1-Q4_K_M 282.0 fast, recommended
P1 P2 P3 P4 P5 P6 P7 i1-Q5_K_S 319.7
P1 P2 P3 P4 P5 P6 P7 i1-Q5_K_M 329.7
P1 P2 P3 P4 P5 P6 P7 P8 i1-Q6_K 381.0 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.

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