base_model: Austriani/Gemma-4-E2B-it-ARA-Abliterated
language:
- en
library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - gemma-4
- gemma-4-e2b
- google-deepmind
- multimodal
- omni
- vision-language
- audio
- edge-deployment
- on-device
- hybrid-attention
- sliding-window-attention
- per-layer-embeddings
- 2.3b-effective
- 5.1b-total
- abliterated
- uncensored
- decensored
- ara
- arbitrary-rank-ablation
- heretic
- refusal-removed
- kld-0.1004
- ara-trial-61
- safetensors
- text-generation
- chat
- roleplay
- creative-writing
- agent
- instruct
- multimodal-chat
About
static quants of https://huggingface.co/Austriani/Gemma-4-E2B-it-ARA-Abliterated
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 | 0.7 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.1 | multi-modal supplement |
| GGUF | Q2_K | 3.1 | |
| GGUF | Q3_K_S | 3.2 | |
| GGUF | Q3_K_M | 3.3 | lower quality |
| GGUF | Q3_K_L | 3.4 | |
| GGUF | IQ4_XS | 3.4 | |
| GGUF | Q4_K_S | 3.5 | fast, recommended |
| GGUF | Q4_K_M | 3.5 | fast, recommended |
| GGUF | Q5_K_S | 3.7 | |
| GGUF | Q5_K_M | 3.7 | |
| GGUF | Q6_K | 3.9 | very good quality |
| GGUF | Q8_0 | 5.0 | fast, best quality |
| GGUF | f16 | 9.4 | 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.