Rhea-72b-v0.5-GGUF / README.md
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metadata
base_model: davidkim205/Rhea-72b-v0.5
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher

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):

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.