CoolFace
Modelpublic

mradermacher/dbrx-instruct-i1-GGUF

sourceHugging Faceupdated 2y agoView on Hugging Face
0likes464downloads
Model Card

About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/alpindale/dbrx-instruct

<!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/dbrx-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_S27.0for the desperate
GGUFi1-IQ1_M29.9mostly desperate
GGUFi1-IQ2_XXS34.7
GGUFi1-IQ2_XS38.6
GGUFi1-IQ2_S39.4
GGUFi1-IQ2_M43.3
GGUFi1-Q2_K48.0IQ3_XXS probably better
PART 1 PART 2i1-IQ3_XXS50.8lower quality
PART 1 PART 2i1-IQ3_XS53.9
PART 1 PART 2i1-IQ3_S56.9beats Q3_K*
PART 1 PART 2i1-Q3KS56.9IQ3_XS probably better
PART 1 PART 2i1-IQ3_M58.1
PART 1 PART 2i1-Q3KM63.2IQ3_S probably better
PART 1 PART 2i1-Q3KL68.5IQ3_M probably better
PART 1 PART 2i1-IQ4_XS70.2
PART 1 PART 2i1-Q4_074.6fast, low quality
PART 1 PART 2i1-Q4KS75.0optimal size/speed/quality
PART 1 PART 2i1-Q4KM80.0fast, recommended
PART 1 PART 2i1-Q5KS90.7
PART 1 PART 2i1-Q5KM93.7
PART 1 PART 2 PART 3i1-Q6_K108.1practically 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 -->