mradermacher/Qwen2.5-7B-Instruct-Uncensored-GGUF

---

base_model: Orion-zhen/Qwen2.5-7B-Instruct-Uncensored datasets:

• NobodyExistsOnTheInternet/ToxicQAFinal
• anthracite-org/kalo-opus-instruct-22k-no-refusal
• Orion-zhen/dpo-toxic-zh
• unalignment/toxic-dpo-v0.2
• Crystalcareai/Intel-DPO-Pairs-Norefusals

language:

• zho
• eng
• fra
• spa
• por
• deu
• ita
• rus
• jpn
• kor
• vie
• tha
• ara

library_name: transformers license: gpl-3.0 quantized_by: mradermacher tags:

• qwen
• uncensored

---

About

static quants of https://huggingface.co/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-7B-Instruct-Uncensored-i1-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	Q2_K	3.1
GGUF	Q3K_S	3.6
GGUF	Q3K_M	3.9	lower quality
GGUF	Q3K_L	4.2
GGUF	IQ4_XS	4.4
GGUF	Q4K_S	4.6	fast, recommended
GGUF	Q4K_M	4.8	fast, recommended
GGUF	Q5K_S	5.4
GGUF	Q5K_M	5.5
GGUF	Q6_K	6.4	very good quality
GGUF	Q8_0	8.2	fast, best quality
GGUF	f16	15.3	16 bpw, overkill

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.