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mradermacher
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ShadowDolph-7B-v1-GGUF

Transformers
GGUF
English
Merge
mergekit
lazymergekit
mahiatlinux/merged1and2-and-dolphin
automerger/YamShadow-7B
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metadata
base_model:
  - mahiatlinux/merged1and2-and-dolphin
  - automerger/YamShadow-7B
exported_from: mahiatlinux/ShadowDolph-7B-v1
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - merge
  - mergekit
  - lazymergekit
  - mahiatlinux/merged1and2-and-dolphin
  - automerger/YamShadow-7B

About

static quants of https://huggingface.co/mahiatlinux/ShadowDolph-7B-v1

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 Q4_K_S 4.4 fast, recommended

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.