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LLaMAX2-7B-XNLI-i1-GGUF

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metadata
base_model: LLaMAX/LLaMAX2-7B-XNLI
language:
  - af
  - am
  - ar
  - hy
  - as
  - ast
  - az
  - be
  - bn
  - bs
  - bg
  - my
  - ca
  - ceb
  - zho
  - hr
  - cs
  - da
  - nl
  - en
  - et
  - tl
  - fi
  - fr
  - ff
  - gl
  - lg
  - ka
  - de
  - el
  - gu
  - ha
  - he
  - hi
  - hu
  - is
  - ig
  - id
  - ga
  - it
  - ja
  - jv
  - kea
  - kam
  - kn
  - kk
  - km
  - ko
  - ky
  - lo
  - lv
  - ln
  - lt
  - luo
  - lb
  - mk
  - ms
  - ml
  - mt
  - mi
  - mr
  - mn
  - ne
  - ns
  - 'no'
  - ny
  - oc
  - or
  - om
  - ps
  - fa
  - pl
  - pt
  - pa
  - ro
  - ru
  - sr
  - sn
  - sd
  - sk
  - sl
  - so
  - ku
  - es
  - sw
  - sv
  - tg
  - ta
  - te
  - th
  - tr
  - uk
  - umb
  - ur
  - uz
  - vi
  - cy
  - wo
  - xh
  - yo
  - zu
library_name: transformers
license: mit
quantized_by: mradermacher
tags:
  - Multilingual

About

weighted/imatrix quants of https://huggingface.co/LLaMAX/LLaMAX2-7B-XNLI

static quants are available at https://huggingface.co/mradermacher/LLaMAX2-7B-XNLI-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 1.6 for the desperate
GGUF i1-IQ1_M 1.8 mostly desperate
GGUF i1-IQ2_XXS 2.0
GGUF i1-IQ2_XS 2.1
GGUF i1-IQ2_S 2.3
GGUF i1-Q2_K_S 2.4 very low quality
GGUF i1-IQ2_M 2.5
GGUF i1-Q2_K 2.6 IQ3_XXS probably better
GGUF i1-IQ3_XXS 2.7 lower quality
GGUF i1-IQ3_XS 2.9
GGUF i1-IQ3_S 3.0 beats Q3_K*
GGUF i1-Q3_K_S 3.0 IQ3_XS probably better
GGUF i1-IQ3_M 3.2
GGUF i1-Q3_K_M 3.4 IQ3_S probably better
GGUF i1-Q3_K_L 3.7 IQ3_M probably better
GGUF i1-IQ4_XS 3.7
GGUF i1-IQ4_NL 3.9 prefer IQ4_XS
GGUF i1-Q4_0 3.9 fast, low quality
GGUF i1-Q4_K_S 4.0 optimal size/speed/quality
GGUF i1-Q4_K_M 4.2 fast, recommended
GGUF i1-Q4_1 4.3
GGUF i1-Q5_K_S 4.8
GGUF i1-Q5_K_M 4.9
GGUF i1-Q6_K 5.6 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. 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.