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metadata
language:
  - en
library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co./Sao10K/Fimbulvetr-11B-v2

static quants are available at https://huggingface.co./mradermacher/Fimbulvetr-11B-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)

Link Type Size/GB Notes
GGUF i1-IQ1_S 2.6 for the desperate
GGUF i1-IQ2_XXS 3.2
GGUF i1-IQ2_XS 3.5
GGUF i1-IQ2_S 3.7
GGUF i1-IQ2_M 3.9
GGUF i1-Q2_K 4.3 IQ3_XXS probably better
GGUF i1-IQ3_XXS 4.4 fast, lower quality
GGUF i1-IQ3_XS 4.7
GGUF i1-Q3_K_S 4.9 IQ3_XS probably better
GGUF i1-IQ3_S 4.9 fast, beats Q3_K*
GGUF i1-IQ3_M 5.1
GGUF i1-Q3_K_M 5.5 IQ3_S probably better
GGUF i1-Q3_K_L 5.9 IQ3_M probably better
GGUF i1-Q4_K_S 6.4 optimal size/speed/quality
GGUF i1-Q4_K_M 6.7 fast, medium quality
GGUF i1-Q5_K_S 7.7
GGUF i1-Q5_K_M 7.9
GGUF i1-Q6_K 9.1 practically 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

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.