Skyro-4X8B-GGUF / README.md
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metadata
base_model: saucam/Skyro-4X8B
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - merge
  - mergekit
  - moe
  - frankenmoe
  - abacusai/Llama-3-Smaug-8B
  - cognitivecomputations/dolphin-2.9-llama3-8b
  - Weyaxi/Einstein-v6.1-Llama3-8B
  - dreamgen-preview/opus-v1.2-llama-3-8b-base-run3.4-epoch2

About

static quants of https://huggingface.co/saucam/Skyro-4X8B

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 IQ3_S 11.1 beats Q3_K*
GGUF IQ3_M 11.2
GGUF Q4_K_S 14.4 fast, recommended
GGUF Q8_0 26.6 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

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.