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CompiwerAI
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Model Details
Model Provider
CompiwerAI
Model Tree
Qwen/Qwen3-VL-8B-Instruct
Input Modalities
Output Modalities
Supported Functionality
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.
The final dataset contained approximately 58.6K unique examples:
| 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 |
These are training metrics and are not standardized benchmark results.
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
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.
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.