---
language:
  - en
  - ar
  - fr
  - ary
license: apache-2.0
library_name: transformers
base_model: Qwen/Qwen3-VL-8B-Instruct
tags:
  - mtrini
  - compiwer-ai
  - qwen3-vl
  - lora
  - peft
  - reasoning
  - coding
  - mathematics
  - darija
  - moroccan-arabic
---

# 🐪 Mtrini-SVL-1.1

> **Small lab. Big ambitions.**

Mtrini-SVL-1.1 is an 8B model adaptation developed by **Compiwer AI**, built on **Qwen3-VL-8B-Instruct** and trained with a focus on reasoning, coding, mathematics, and Moroccan Darija.

## 🧠 SVL — Self-Verifying Loop

**SVL = Self-Verifying Loop**

The idea:

**Think → Verify → Improve → Repeat**

SVL is Compiwer AI's approach to encouraging models to check and refine their responses instead of immediately stopping at the first answer.

## 📚 Training Data

The final dataset contained approximately **58.6K unique examples**:

- 🇲🇦 Moroccan Darija QA + Reasoning — 2,170
- 💻 OpenCodeReasoning-2 — 30,000
- 🧮 OpenMathInstruct-2 — 30,000

## ⚙️ Model Details

| Property | Value |
|---|---|
| Model | Mtrini-SVL-1.1 |
| Base | Qwen3-VL-8B-Instruct |
| Parameters | ~8B |
| Architecture | Qwen3-VL |
| Training | LoRA / PEFT |
| Precision | BF16 |
| Training Context | 4096 |
| Developer | Compiwer AI |
| Origin | 🇲🇦 Salé, Morocco |

## 🧪 Training

- 3,661 training steps
- 1 epoch
- Training loss: **0.5855**
- Mean token accuracy: **83.55%**

These are training metrics and are not standardized benchmark results.

## 📦 Repository

This repository contains the **LoRA adapter** for Mtrini-SVL-1.1.

For the merged model:

**CompiwerAI/Mtrini-SVL-1.1-Merged**

For local GGUF inference:

**CompiwerAI/Mtrini-SVL-1.1-GGUF**

## ⚠️ Limitations

Mtrini-SVL-1.1 is an experimental model and can still hallucinate, make coding mistakes, misunderstand Darija, or produce incorrect mathematical answers.

Always verify important outputs.

## 🇲🇦 Built by Compiwer AI

Mtrini is part of Compiwer AI's effort to build open AI systems focused on:

**Reasoning • Coding • Mathematics • Moroccan Darija • Open AI**

> **Building AI For Everyone.**