# Arriella Ascension

DeepSeek-native reasoning tier · LLaMA-Factory + Flagship catch-up

| Field | Value |
|-------|-------|
| **Fleet ID** | `arriella-ascension` |
| **Ollama** | `ollama run arriella-ascension` |
| **Parameters** | ~1.8B (Ollama) |
| **Foundation (clay only)** | `deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B` |
| **Merged weights** | `fleet/ascension-deepseek15/model` |
| **Demo priority** | **Secondary** — lead with Flagship/Growth for general demos |
| **Business role** | Explicit reasoning / analysis traces for field & research workflows |

## Description

**Arriella Ascension** is the fourth **core text** model. It targets native DeepSeek-style thinking, not universal superiority over Flagship. Foundation architecture is clay — product identity is Arriella / Infinidev Corp.

## Features

- DeepSeek-native think channel in Ollama templates
- Catch-up path toward Flagship (`fleet_ascension_catchup.py`)
- Capability / math / thinking anchors with elevated thinking repeats
- Text-only; vision via Gemma3 routing like siblings

## Intended uses

- Multi-step analysis where visible reasoning helps
- Pair with Flagship: Flagship for ops speed; Ascension for think-heavy tasks

## Out of scope

- Claiming Ascension beats Flagship on every benchmark without evidence
- Native vision / audio
- Frontier closed-model parity

## Hub card stub

[`docs/papers/hf-cards/ascension.md`](../../docs/papers/hf-cards/ascension.md)

## Use

```bash
ollama run arriella-ascension
```

```powershell
.\.venv\Scripts\python.exe scripts\fleet_ascension_catchup.py --help
```