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metadata
base_model: LeroyDyer/LCARS_AI_1x4_001_SuperAI
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - chemistry
  - biology
  - code
  - medical
  - not-for-all-audiences
  - Cyber-Series

About

weighted/imatrix quants of https://huggingface.co/LeroyDyer/LCARS_AI_1x4_001_SuperAI

static quants are available at https://huggingface.co/mradermacher/LCARS_AI_1x4_001_SuperAI-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-Q2_K 8.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 9.4 lower quality
GGUF i1-Q3_K_M 11.7 IQ3_S probably better
GGUF i1-Q4_K_S 13.8 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

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. Additional thanks to @nicoboss for giving me access to his hardware for calculating the imatrix for these quants.