mradermacher/BigAurelian-v0.5-120b-32k-GGUF

About

static quants of https://huggingface.co/llmixer/BigAurelian-v0.5-120b-32k

weighted/imatrix quants are available at https://huggingface.co/mradermacher/BigAurelian-v0.5-120b-32k-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	43.7
GGUF	IQ3_XS	48.4
PART 1 PART 2	Q3_K_S	51.1
PART 1 PART 2	IQ3_S	51.3	beats Q3_K*
PART 1 PART 2	IQ3_M	53.0
PART 1 PART 2	Q3_K_M	57.0	lower quality
PART 1 PART 2	Q3_K_L	62.1
PART 1 PART 2	IQ4_XS	63.9
PART 1 PART 2	Q4_K_S	67.2	fast, recommended
PART 1 PART 2	Q4_K_M	71.0	fast, recommended
PART 1 PART 2	Q5_K_S	81.4
PART 1 PART 2	Q5_K_M	83.6
PART 1 PART 2 PART 3	Q6_K	97.0	very good quality
PART 1 PART 2 PART 3	Q8_0	125.5	fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

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.