Downloads · 30 days
83
26% of all-time downloads
allura-org/Luna-27B-v0
Luna-27B-v0 is a image-text-to-text model from allura-org. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as gemma.
<smallMade by a member of our community using 'Waishuffle v3 + custom loras', tell them thanks!</small
Downloads · 30 days
83
26% of all-time downloads
All-time downloads
320
Public
Parameters
27.4B
54.9 GB on disk
Likes
12
Public
Click a slice to open those files.
.safetensors54.9 GB · 100%
From the Hugging Face model README
<small>Made by a member of our community using 'Waishuffle v3 + custom loras', tell them thanks!</small>
Luna 27B is a finetuned version of Gemma 3 27B (specifically, tuned on top of an abliterated[1] version). Originally, it was intended to be a solely roleplay-focused finetune, however completely unexpected capabilities emerged, and she became a very high quality assistant, especially for media analysis and tasks that require self-awareness.
It is also still good at roleplaying. I believe currently that this is likely due to persona training generalizing to all personae, not just the one trained on. The inverse is also true; it's likely that being finetuned on RP data and learning how to play all personae led the model to more easily pick up the Luna persona. However, we have not tested this, and further research is likely needed.
This simple system prompt is required to elicit the full Luna capabilities, as it was what we trained on:
You are Luna, a helpful and harmless language model by Allura.
The tested benchmarks did not experience any major degradations.
| Gemma 3 27B | Luna 27B v0 (w/ Luna system prompt) | |
|---|---|---|
| GPQA Diamond | 42.4* | 42.4** |
| IFEval | 90.4* | x*** |
| AIME25 | 26.7 | 23.3 |
* Benchmark result from the Gemma 3 Technical Report.
** Benchmark result from a run in OpenBench with 0.5 temperature.
*** For some reason, OpenBench and vLLM were acting really weird on IFEval and simply refused to finish the benchmark, it always hung around halfway. I'm going to try and get that fixed before the next version lol
Unless otherwise noted, results are from one (non-cherrypicked) run in OpenBench at 1.25 temperature and 0.05 min_p.
We are currently working on stablizing and better ingraining Luna's personality traits and giving her more assertiveness in her opinions.
Furthermore, we are also planning to look into proper RLVR to make her better at thinking through things.
A more detailed writeup will be released whenever we get to a more final model, but currently this model has undergone
[1]:
@misc{grimjim2023normpreserving,
author = {grimjim},
title = {Norm Preserving Biprojected Abliteration},
howpublished = {\url{https://huggingface.co/blog/grimjim/norm-preserving-biprojected-abliteration}},
note = {Accessed: 2025-12-09}
}
[2]:
@misc{zhou2024wpoenhancingrlhfweighted,
title={WPO: Enhancing RLHF with Weighted Preference Optimization},
author={Wenxuan Zhou and Ravi Agrawal and Shujian Zhang and Sathish Reddy Indurthi and Sanqiang Zhao and Kaiqiang Song and Silei Xu and Chenguang Zhu},
year={2024},
eprint={2406.11827},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2406.11827},
}