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Q2.5-32B-Slush-i1-GGUF

Transformers
GGUF
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metadata
base_model: crestf411/Q2.5-32B-Slush
datasets:
  - crestf411/LimaRP-DS
  - Gryphe/Sonnet3.5-Charcard-Roleplay
  - anthracite-org/c2_logs_32k_mistral-v3_v1.2_no_system
  - anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system
  - anthracite-org/kalo-opus-instruct-3k-filtered-no-system
  - anthracite-org/nopm_claude_writing_fixed
language:
  - en
library_name: transformers
quantized_by: mradermacher
tags:
  - not-for-all-audiences
  - mergekit

About

weighted/imatrix quants of https://huggingface.co/crestf411/Q2.5-32B-Slush

static quants are available at https://huggingface.co/mradermacher/Q2.5-32B-Slush-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 8.0 mostly desperate
GGUF i1-IQ2_XXS 9.1
GGUF i1-IQ2_M 11.4
GGUF i1-Q2_K 12.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.9 lower quality
GGUF i1-Q3_K_S 14.5 IQ3_XS probably better
GGUF i1-IQ3_M 14.9
GGUF i1-Q3_K_M 16.0 IQ3_S probably better
GGUF i1-IQ4_XS 17.8
GGUF i1-Q4_K_S 18.9 optimal size/speed/quality
GGUF i1-Q4_K_M 19.9 fast, recommended
GGUF i1-Q6_K 27.0 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.