---
license: apache-2.0
tags:
- text-generation
- causal-language-model
- merged-model
- qwen
- coding
- mathematics
- reasoning
- darija
- arabic
library_name: transformers
pipeline_tag: text-generation
---

# Mtrini-27B-Tellus-Merged

This repository contains the **merged Transformers model** for Mtrini-27B-Tellus.

The CompiwerAI LoRA adapter has been merged into the compatible base model, producing a standalone model for Transformers-based inference.

> **CompiwerAI — Building AI For Everyone.**

## Model Information

| Property | Value |
|---|---|
| Model | Mtrini-27B-Tellus |
| Type | Merged Transformers model |
| Base | Qwen3.8-27B |
| Parameters | ~27B |
| Context | 4096 tokens |
| Training steps | 700 |
| Training method | QLoRA / LoRA |
| LoRA rank | 32 |
| LoRA alpha | 64 |
| Learning rate | 0.00015 |
| Compute dtype | BF16 |

## Training Mix

- OpenCodeInstruct — 35%
- Magicoder — 10%
- OpenR1-Math — 25%
- Moroccan Darija — 20%
- Aya Arabic / Moroccan Arabic — 10%

Total: **11,200 examples**

## Training Result

- Final loss: **0.4302458722250802**
- Runtime: approximately **3.15 hours**
- Epoch: **1**
- Hardware: **NVIDIA RTX PRO 6000 Blackwell Server Edition**

## Transformers Usage

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "CompiwerAI/Mtrini-27B-Tellus-Merged"

tokenizer = AutoTokenizer.from_pretrained(model_id)

model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype="auto",
    device_map="auto",
)
```

For large-model inference, substantial GPU or CPU memory may be required.