CoolFace
Modelpublic

mradermacher/Monstral-123B-v2-i1-GGUF

sourceHugging Faceotherupdated 2y agoView on Hugging Face
1likes347downloads
Model Card

About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/MarsupialAI/Monstral-123B-v2

<!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/Monstral-123B-v2-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_S26.1for the desperate
GGUFi1-IQ1_M28.5mostly desperate
GGUFi1-IQ2_XXS32.5
GGUFi1-IQ2_XS36.2
GGUFi1-IQ2_S38.5
GGUFi1-Q2KS41.7very low quality
GGUFi1-IQ2_M41.7
GGUFi1-Q2_K45.3IQ3_XXS probably better
GGUFi1-IQ3_XXS47.1lower quality
PART 1 PART 2i1-IQ3_XS50.2
PART 1 PART 2i1-Q3KS52.9IQ3_XS probably better
PART 1 PART 2i1-IQ3_S53.1beats Q3_K*
PART 1 PART 2i1-IQ3_M55.4
PART 1 PART 2i1-Q3KM59.2IQ3_S probably better
PART 1 PART 2i1-Q3KL64.7IQ3_M probably better
PART 1 PART 2i1-IQ4_XS65.5
PART 1 PART 2i1-Q4_069.4fast, low quality
PART 1 PART 2i1-Q4KS69.7optimal size/speed/quality
PART 1 PART 2i1-Q4KM73.3fast, recommended
PART 1 PART 2i1-Q5KS84.5
PART 1 PART 2i1-Q5KM86.6
PART 1 PART 2 PART 3i1-Q6_K100.7practically 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 -->