mradermacher/Qwen2.5-14B-Instruct-abliterated-v2-GGUF

---

base_model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2 language:

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

library_name: transformers license: apache-2.0 license_link: https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2/blob/main/LICENSE mradermacher: readme_rev: 1 quantized_by: mradermacher tags:

• chat
• abliterated
• uncensored

---

About

static quants of https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-14B-Instruct-abliterated-v2-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	5.9
GGUF	Q3K_S	6.8
GGUF	Q3K_M	7.4	lower quality
GGUF	Q3K_L	8.0
GGUF	IQ4_XS	8.3
GGUF	Q4K_S	8.7	fast, recommended
GGUF	Q4K_M	9.1	fast, recommended
GGUF	Q5K_S	10.4
GGUF	Q5K_M	10.6
GGUF	Q6_K	12.2	very good quality
GGUF	Q8_0	15.8	fast, best quality

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.