base_model: mizahnyx/lfm3-omni-2b-abliterated-heretic-v2
language:
- en
- ar
- zh
- fr
- de
- it
- ja
- ko
- pt
- es
- vi
- th
- id
- hi
- ru
- pl
- da
- el
- fi
- he
- nl
- sv
- tr
library_name: transformers
license: other
license_link: https://huggingface.co/LiquidAI/LFM3-Omni-2B/blob/main/LICENSE
license_name: lfm-open-license-v1.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - liquid
- lfm3
- lfm3-omni
- omni
- multimodal
- heretic
- abliterated
- uncensored
- decensored
- gguf
About
static quants of https://huggingface.co/mizahnyx/lfm3-omni-2b-abliterated-heretic-v2
For a convenient overview and download list, visit our model page for this model.
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 | mmproj-Q8_0 | 0.6 | multi-modal supplement |
| GGUF | Q2_K | 0.9 | |
| GGUF | Q3_K_S | 1.0 | |
| GGUF | Q3_K_M | 1.0 | lower quality |
| GGUF | mmproj-f16 | 1.0 | multi-modal supplement |
| GGUF | Q3_K_L | 1.1 | |
| GGUF | IQ4_XS | 1.1 | |
| GGUF | Q4_K_S | 1.2 | fast, recommended |
| GGUF | Q4_K_M | 1.2 | fast, recommended |
| GGUF | Q5_K_S | 1.3 | |
| GGUF | Q5_K_M | 1.4 | |
| GGUF | Q6_K | 1.5 | very good quality |
| GGUF | Q8_0 | 1.9 | fast, best quality |
| GGUF | f16 | 3.6 | 16 bpw, overkill |
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.