CoolFace
Modelpublic

mradermacher/CodeLlama-13b-Python-hf-i1-GGUF

sourceHugging Facellama2updated 2y agoView on Hugging Face
0likes2.3kdownloads
Model Card

About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/codellama/CodeLlama-13b-Python-hf

<!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/CodeLlama-13b-Python-hf-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_S3.0for the desperate
GGUFi1-IQ1_M3.2mostly desperate
GGUFi1-IQ2_XXS3.6
GGUFi1-IQ2_XS4.0
GGUFi1-IQ2_S4.3
GGUFi1-IQ2_M4.6
GGUFi1-Q2_K5.0IQ3_XXS probably better
GGUFi1-IQ3_XXS5.1lower quality
GGUFi1-IQ3_XS5.5
GGUFi1-IQ3_S5.8beats Q3_K*
GGUFi1-Q3KS5.8IQ3_XS probably better
GGUFi1-IQ3_M6.1
GGUFi1-Q3KM6.4IQ3_S probably better
GGUFi1-Q3KL7.0IQ3_M probably better
GGUFi1-IQ4_XS7.1
GGUFi1-Q404_47.5fast on arm, low quality
GGUFi1-Q404_87.5fast on arm+i8mm, low quality
GGUFi1-Q408_87.5fast on arm+sve, low quality
GGUFi1-Q4_07.5fast, low quality
GGUFi1-Q4KS7.5optimal size/speed/quality
GGUFi1-Q4KM8.0fast, recommended
GGUFi1-Q5KS9.1
GGUFi1-Q5KM9.3
GGUFi1-Q6_K10.8practically 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 -->