Senku-70B-Full-GGUF / README.md
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metadata
base_model: 152334H/miqu-1-70b-sf
datasets:
  - Open-Orca/SlimOrca
language:
  - en
library_name: transformers
license: cc0-1.0
quantized_by: mradermacher
tags:
  - generated_from_trainer

About

static quants of https://huggingface.co/ShinojiResearch/Senku-70B-Full

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 Q4_K_S 39.7 fast, medium quality
PART 1 PART 2 Q8_0 73.6 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

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.