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aya-expanse-32b-abliterated-i1-GGUF

Transformers
GGUF
abliterated
uncensored
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imatrix
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metadata
base_model: huihui-ai/aya-expanse-32b-abliterated
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library_name: transformers
license: cc-by-nc-4.0
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tags:
  - abliterated
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About

weighted/imatrix quants of https://huggingface.co/huihui-ai/aya-expanse-32b-abliterated

static quants are available at https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-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_M 8.5 mostly desperate
GGUF i1-IQ2_XXS 9.5
GGUF i1-IQ2_XS 10.4
GGUF i1-IQ2_S 10.9
GGUF i1-IQ2_M 11.7
GGUF i1-Q2_K_S 12.1 very low quality
GGUF i1-Q2_K 12.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 13.1 lower quality
GGUF i1-Q3_K_S 14.8 IQ3_XS probably better
GGUF i1-IQ3_M 15.3
GGUF i1-Q3_K_M 16.3 IQ3_S probably better
GGUF i1-Q3_K_L 17.7 IQ3_M probably better
GGUF i1-IQ4_XS 17.9
GGUF i1-Q4_K_S 18.9 optimal size/speed/quality
GGUF i1-Q4_K_M 19.9 fast, recommended
GGUF i1-Q5_K_S 22.6
GGUF i1-Q6_K 26.6 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.