mradermacher/Llama-3.2-3B-Instruct-uncensored-GGUF

---

base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored language:

• en

library_name: transformers quantized_by: mradermacher tags: []

---

About

static quants of https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3.2-3B-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	1.6
GGUF	IQ3_XS	1.7
GGUF	IQ3S	1.8	beats Q3K*
GGUF	Q3K_S	1.8
GGUF	IQ3_M	1.9
GGUF	Q3K_M	2.0	lower quality
GGUF	Q3K_L	2.1
GGUF	IQ4_XS	2.2
GGUF	Q4K_S	2.2	fast, recommended
GGUF	Q4K_M	2.3	fast, recommended
GGUF	Q5K_S	2.6
GGUF	Q5K_M	2.7
GGUF	Q6_K	3.1	very good quality
GGUF	Q8_0	3.9	fast, best quality
GGUF	f16	7.3	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.