About

weighted/imatrix quants of https://huggingface.co/nisten/shqiponja-90

static quants are available at https://huggingface.co/mradermacher/shqiponja-90-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 21.7 for the desperate
GGUF i1-IQ1_M 23.4 mostly desperate
GGUF i1-IQ2_XXS 26.2
GGUF i1-IQ2_XS 28.6
GGUF i1-IQ2_S 30.6
GGUF i1-IQ2_M 32.8
GGUF i1-Q2_K 35.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 36.0 lower quality
GGUF i1-IQ3_XS 38.6
GGUF i1-IQ3_S 40.6 beats Q3_K*
GGUF i1-Q3_K_S 40.6 IQ3_XS probably better
GGUF i1-IQ3_M 42.7
GGUF i1-Q3_K_M 45.3 IQ3_S probably better
GGUF i1-Q3_K_L 49.3 IQ3_M probably better
PART 1 PART 2 i1-IQ4_XS 49.6
PART 1 PART 2 i1-Q4_0 52.5 fast, low quality
PART 1 PART 2 i1-Q4_K_S 52.7 optimal size/speed/quality
PART 1 PART 2 i1-Q4_K_M 55.8 fast, recommended
PART 1 PART 2 i1-Q5_K_S 63.4
PART 1 PART 2 i1-Q5_K_M 65.2
PART 1 PART 2 i1-Q6_K 75.2 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

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.

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