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metadata
base_model: huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2
language:
  - en
library_name: transformers
license: apache-2.0
license_link: >-
  https://huggingface.co/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2/blob/main/LICENSE
quantized_by: mradermacher
tags:
  - chat
  - abliterated
  - uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2

static quants are available at https://huggingface.co/mradermacher/Qwen2.5-7B-Instruct-abliterated-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-Q2_K 3.1 IQ3_XXS probably better
GGUF i1-IQ3_M 3.7

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.