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metadata
datasets:
  - Open-Orca/OpenOrca
  - openchat/openchat_sharegpt4_dataset
  - LDJnr/Puffin
  - ehartford/samantha-data
  - OpenAssistant/oasst1
  - jondurbin/airoboros-gpt4-1.4.1
exported_from: ICBU-NPU/FashionGPT-70B-V1.1
language:
  - en
library_name: transformers
license: llama2
quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1.1

static quants are available at https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-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 i1-Q4_K_S 39.3 optimal size/speed/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.