CoolFace
Modelpublic

mradermacher/Reflection-Llama-3.1-8B-i1-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
3likes7kdownloads
Model Card

About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/terrycraddock/Reflection-Llama-3.1-8B

<!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/Reflection-Llama-3.1-8B-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
PART 1 PART 2i1-IQ1_S4.1for the desperate
PART 1 PART 2i1-IQ1_M4.4mostly desperate
PART 1 PART 2i1-IQ2_XXS4.9
PART 1 PART 2i1-IQ2_XS5.3
PART 1 PART 2i1-IQ2_S5.6
PART 1 PART 2i1-IQ2_M6.0
PART 1 PART 2i1-Q2_K6.5IQ3_XXS probably better
PART 1 PART 2i1-IQ3_XXS6.6lower quality
PART 1 PART 2i1-IQ3_XS7.1
PART 1 PART 2i1-Q3KS7.4IQ3_XS probably better
PART 1 PART 2i1-IQ3_S7.5beats Q3_K*
PART 1 PART 2i1-IQ3_M7.7
PART 1 PART 2i1-Q3KM8.1IQ3_S probably better
PART 1 PART 2i1-Q3KL8.7IQ3_M probably better
PART 1 PART 2i1-IQ4_XS9.0
PART 1 PART 2i1-Q4_09.5fast, low quality
PART 1 PART 2i1-Q4KS9.5optimal size/speed/quality
PART 1 PART 2i1-Q4KM9.9fast, recommended
PART 1 PART 2i1-Q5KS11.3
PART 1 PART 2i1-Q5KM11.6
PART 1 PART 2i1-Q6_K13.3practically 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 -->