mradermacher/Rhea-72b-v0.5-GGUF

About

static quants of https://huggingface.co/davidkim205/Rhea-72b-v0.5

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Rhea-72b-v0.5-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	31.1
GGUF	IQ3_XS	34.0
GGUF	IQ3_S	35.6	beats Q3_K*
GGUF	Q3_K_S	35.6
GGUF	IQ3_M	37.3
GGUF	Q3_K_M	39.3	lower quality
GGUF	Q3_K_L	42.6
GGUF	IQ4_XS	43.2
GGUF	Q4_0	45.1	fast, low quality
GGUF	IQ4_NL	45.3	prefer IQ4_XS
GGUF	Q4_K_S	45.3	fast, recommended
GGUF	Q4_K_M	47.8	fast, recommended
PART 1 PART 2	Q5_K_S	53.9
PART 1 PART 2	Q5_K_M	55.4
PART 1 PART 2	Q6_K	63.4	very good quality
PART 1 PART 2	Q8_0	80.6	fast, best quality
P1 P2 P3 P4 P5 P6	SOURCE	289.3	source gguf, only provided when it was hard to come by

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.