Instructions to use CompiwerAI/Mtrini-Tellus-12B-Sahara-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CompiwerAI/Mtrini-Tellus-12B-Sahara-2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="CompiwerAI/Mtrini-Tellus-12B-Sahara-2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("CompiwerAI/Mtrini-Tellus-12B-Sahara-2", device_map="auto")

PEFT
How to use CompiwerAI/Mtrini-Tellus-12B-Sahara-2 with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use CompiwerAI/Mtrini-Tellus-12B-Sahara-2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CompiwerAI/Mtrini-Tellus-12B-Sahara-2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CompiwerAI/Mtrini-Tellus-12B-Sahara-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/CompiwerAI/Mtrini-Tellus-12B-Sahara-2

SGLang

How to use CompiwerAI/Mtrini-Tellus-12B-Sahara-2 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "CompiwerAI/Mtrini-Tellus-12B-Sahara-2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CompiwerAI/Mtrini-Tellus-12B-Sahara-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "CompiwerAI/Mtrini-Tellus-12B-Sahara-2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CompiwerAI/Mtrini-Tellus-12B-Sahara-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use CompiwerAI/Mtrini-Tellus-12B-Sahara-2 with Docker Model Runner:
```
docker model run hf.co/CompiwerAI/Mtrini-Tellus-12B-Sahara-2
```

Mtrini Tellus 12B — Sahara 2

Compiwer AI

⚠️ EARLY DEVELOPMENT CHECKPOINT — NOT THE FINAL MODEL

Mtrini Tellus 12B — Sahara 2 is an early development checkpoint of the Mtrini Tellus 12B project.

It is a continued-training LoRA/PEFT adapter based on Gemma 4 12B, with a strong focus on:

🇲🇦 Moroccan Darija
💻 Coding
🧠 Reasoning
🌍 Multilingual interaction
💬 Conversational capabilities

⚠️ Important

This is NOT the final Tellus model.

Sahara 2 is an early checkpoint released during the development of Mtrini Tellus 12B.

The model is still being trained, evaluated and improved.

Future checkpoints may have significantly different capabilities, behavior and performance.

This release is intended for:

Experimentation
Community testing
Research
Feedback
Development
Comparing future checkpoints

Do not treat this checkpoint as the final representation of Mtrini Tellus.

🏜️ What does "Sahara 2" mean?

Sahara 2 is a development codename.

It is not intended to represent the final model name, final architecture or final release version.

The repository is currently named:

Mtrini-Tellus-12B-Sahara-2

Downloads last month: -; Downloads are not tracked for this model. How to track

Model tree for CompiwerAI/Mtrini-Tellus-12B-Sahara-2

Base model

google/gemma-4-12B

Finetuned

google/gemma-4-12B-it

Adapter

(59)

this model