mradermacher/AnFeng_v3_Avocet-GGUF

---

basemodel: NLPark/AnFengv3_Avocet language:

• en

library_name: transformers license: cc-by-nc-nd-4.0 quantized_by: mradermacher

---

About

static quants of https://huggingface.co/NLPark/AnFengv3Avocet

weighted/imatrix quants are available at https://huggingface.co/mradermacher/AnFengv3Avocet-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	13.9
GGUF	IQ3_XS	15.2
GGUF	IQ3S	16.0	beats Q3K*
GGUF	Q3K_S	16.0
GGUF	IQ3_M	16.8
GGUF	Q3K_M	17.7	lower quality
GGUF	Q3K_L	19.2
GGUF	IQ4_XS	19.4
GGUF	Q4K_S	20.5	fast, recommended
GGUF	Q4K_M	21.6	fast, recommended
GGUF	Q5K_S	24.4
GGUF	Q5K_M	25.1
GGUF	Q6_K	28.8	very good quality
GGUF	Q8_0	37.3	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.