---
license: apache-2.0
base_model:
- Qwen/Qwen3.5-2B
pipeline_tag: image-text-to-text
library_name: transformers
tags:
- efficient
- qwen
- qwen3.5
- nomi
- lazyloopstudio
- unsloth
- nomi2
---

<p align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/6921fa6332f7fb129563d495/aR36SrpWzksbcGbcp84pE.png" width="128">
</p>

# Nomi 2.0 Mini

## Introduction

Introducing **Nomi 2 Mini**, it was fine tuned on the same data as Nomi 2 and has a very short and efficient reasoning thanks to the RASV reasoning style. Nomi 2 Mini has only 2B parameters, half the parameters of the normal Nomi 2.

If you want to know more about Nomi 2 or RASV, checkout the Nomi 2 model card
 https://huggingface.com/JallyAI/Nomi-2 

## 🌟 Key Features & Improvements

* **Architecture:** Qwen-3.5-2B (requires just ~1.5 GB VRAM).
* **Multilingual Support:** Can understand and generate text English and many other languages.
* **Efficiency:** Get 100+ tokens/s on consumer hardware, like an RTX 4060. You can use Nomi 2 Mini with an context window of almost 200k tokens




## 🧠 Training Details

* **Base Model:** `Qwen/Qwen3.5-2B`
* **Fine-tuning:** SFT (Supervised Fine-Tuning).
* **Training Tool:** **Unsloth** (for 4-bit optimized training).


## 😎 Cool License

**Feel free to use or improve Nomi! Benchmark results are always welcome.**

---