CoolFace
Modelpublic

mradermacher/Llama-3-Motif-102B-Instruct-i1-GGUF

sourceHugging Faceupdated 2y agoView on Hugging Face
1likes539downloads
Model Card

About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/moreh/Llama-3-Motif-102B-Instruct

<!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/Llama-3-Motif-102B-Instruct-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)

LinkTypeSize/GBNotes
GGUFi1-IQ1_S22.1for the desperate
GGUFi1-IQ1_M24.1mostly desperate
GGUFi1-IQ2_XXS27.5
GGUFi1-IQ2_XS30.5
GGUFi1-IQ2_S32.1
GGUFi1-IQ2_M34.8
GGUFi1-Q2KS35.2very low quality
GGUFi1-Q2_K38.0IQ3_XXS probably better
GGUFi1-IQ3_XXS39.6lower quality
GGUFi1-IQ3_XS42.2
GGUFi1-Q3KS44.4IQ3_XS probably better
GGUFi1-IQ3_S44.5beats Q3_K*
GGUFi1-IQ3_M46.1
GGUFi1-Q3KM49.4IQ3_S probably better
PART 1 PART 2i1-Q3KL53.8IQ3_M probably better
PART 1 PART 2i1-IQ4_XS54.8
PART 1 PART 2i1-Q4_058.0fast, low quality
PART 1 PART 2i1-Q4KS58.2optimal size/speed/quality
PART 1 PART 2i1-Q4KM61.4fast, recommended
PART 1 PART 2i1-Q4_164.1
PART 1 PART 2i1-Q5KS70.4
PART 1 PART 2i1-Q5KM72.3
PART 1 PART 2i1-Q6_K83.8practically 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.

<!-- end -->