base_model: Austriani/LFM3-1.7B-ARA-Abliterated
language:
- en
library_name: transformers
license: other
license_link: LICENSE
license_name: lfm1.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - liquid-ai
- lfm3
- lfm3-1.7b
- liquid
- transformer
- hybrid-attention
- convolutional
- edge-deployment
- long-context
- 1.7b
- abliterated
- uncensored
- decensored
- ara
- arbitrary-rank-ablation
- heretic
- refusal-removed
- kld-0.0374
- safetensors
- text-generation
- chat
- roleplay
- creative-writing
- agent
- instruct
About
weighted/imatrix quants of https://huggingface.co/Austriani/LFM3-1.7B-ARA-Abliterated
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/LFM3-1.7B-ARA-Abliterated-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 | imatrix | 0.1 | imatrix file (for creating your own quants) |
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
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 private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.