---
license: cc-by-nc-sa-4.0
base_model: unsloth/gemma-4-12b-it
library_name: transformers
pipeline_tag: image-text-to-text
tags:
- aria
- arianna
- agentos
- multimodal
- lora-merged
- gguf
---

# AriannaV2

Production-tested all-in-one local assistant for Surge's home AI fleet. AriannaV2 is
`gemma-4-12b-it` (multimodal, encoder-free) with the Aria **adapter-v17** LoRA merged
into the base weights — one standalone model, end-to-end tested (core, tools, and the
voice pipeline) before release, and shipped with a full GGUF quant ladder.

## Architecture

The **weights carry the core**: text, reasoning, identity, memory, math, code, grammar,
storytelling, tool-selection, safety, and vision-/audio-understanding. Every other
modality is a **sidecar** the core orchestrates — realtime voice (Whisper STT / TTS),
video generation, image generation, retrieval embeddings — never baked into the weights.

## Capability baseline (v17, held-out probes)

| capability | score | | capability | score |
|---|---|---|---|---|
| math | 0.92 | | code | 0.90 |
| tools | 1.00 | | reasoning | 0.90 |
| identity | 0.90 | | physics | 0.80 |
| identity_bare | 0.625 | | grammar | 0.90 |
| memory | 0.90 | | storytelling | 1.00 |
| safety | 0.90 | | | |

Disjoint 150-problem math confirmation: 93.3%.

## Files

- **Repo root** — merged standalone weights (`AutoModelForImageTextToText.from_pretrained`).
- **`gguf/`** — GGUF quant ladder (F16 + Q2_K … Q8_0) for llama.cpp / Ollama / LM Studio.
- **`adapter/`** — the original Aria v17 LoRA.

## License

CC by SA-NC 4.0 license. Built by Sergio Williams / Surge.