Text Generation
Safetensors
ber
Central Atlas Tamazight
unsloth
gpt2
tamazight
tifinagh
morocco
awal
gemma-2
Instructions to use rachidnichan/Awal-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use rachidnichan/Awal-LM with 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, )
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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