metadata
language:
- en
library_name: transformers
license: other
license_name: microsoft-research-license
quantized_by: mradermacher
tags:
- storywriting
- text adventure
- not-for-all-audiences
About
weighted/imatrix quants of https://huggingface.co/jebcarter/psyonic-cetacean-20B
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-IQ1_S | 4.7 | |
| GGUF | i1-IQ2_XXS | 5.7 | |
| GGUF | i1-IQ2_XS | 6.3 | |
| GGUF | i1-IQ2_M | 7.2 | |
| GGUF | i1-IQ3_XXS | 7.9 | fast, lower quality |
| GGUF | i1-IQ3_XS | 8.5 | |
| GGUF | i1-IQ3_S | 9.0 | fast, beats Q3_K* |
| GGUF | i1-IQ3_M | 9.4 |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9