🐪 Mtrini-SVL-1.1
The model is out of the lab.
Mtrini-SVL-1.1 is an open-weight ~8B model developed by Compiwer AI, based on Qwen3-VL-8B-Instruct.
It was trained with a focus on:
- 🧠 Reasoning
- 💻 Coding
- 🧮 Mathematics
- 🇲🇦 Moroccan Darija
- 🌍 Multilingual tasks
And yes...
It's a Mtrini. 🐪
🔄 Self-Verifying Loop
SVL = Self-Verifying Loop
Our development concept:
THINK
↓
CHECK
↓
IMPROVE
↓
REPEAT 🔄
The goal is to encourage the model to verify and refine its responses.
SVL is an ongoing research direction at Compiwer AI.
📚 Training
The final dataset contained 58,574 unique examples.
Dataset Examples
🇲🇦 Moroccan Darija QA + Reasoning 2,170
💻 OpenCodeReasoning-2 30,000
🧮 OpenMathInstruct-2 30,000
⚡ Model Specs
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 tokens
Dataset 58,574 unique examples
Developer Compiwer AI
Origin 🇲🇦 Salé, Morocco
📊 Training Run
Steps: 3,661
Epochs: 1
Training Loss: 0.5855
Mean Token Accuracy: 83.55%
These metrics describe the training run and should not be treated as standardized benchmark scores.
🚀 Usage
from transformers import Qwen3VLForConditionalGeneration, AutoTokenizer
model_id = "CompiwerAI/Mtrini-SVL-1.1-Merged"
tokenizer = AutoTokenizer.from_pretrained(
model_id,
trust_remote_code=True
)
model = Qwen3VLForConditionalGeneration.from_pretrained(
model_id,
torch_dtype="auto",
device_map="auto",
trust_remote_code=True
)
⚠️ Limitations
Mtrini is an experimental open model.
It can hallucinate, generate incorrect code, misunderstand prompts, or produce incorrect mathematical answers.
Verify important outputs.
🌍 Why Mtrini?
AI shouldn't only be built by the biggest companies on Earth.
Mtrini is Compiwer AI's experiment in building open AI with a focus on:
🇲🇦 Moroccan language
🧠 Reasoning
💻 Coding
🧮 Mathematics
🤝 Open AI
Building AI For Everyone.
Built in Salé, Morocco 🇲🇦