How to use from
Unsloth Studio
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for rachidnichan/Awal-LM to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for rachidnichan/Awal-LM to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for rachidnichan/Awal-LM to start chatting
Load model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="rachidnichan/Awal-LM",
    max_seq_length=2048,
)
Quick Links

Awal-LM v1.8 (Gemma-2-2B) ⵣ

Awal-LM is the first open-source Large Language Model fine-tuned specifically for the Tamazight language using the Tifinagh script.

Key Improvements in v1.8:

  • Base Model: Upgraded to Google's Gemma-2-2B.
  • Precision: Fine-tuned with Unsloth for better performance.
  • Dataset: Trained on custom Tamazight instructions.
  • Status: Experimental (Work in Progress).

Usage:

You can use this model with unsloth or transformers library.

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