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, )
| language: | |
| - ber | |
| - tzm | |
| license: gemma | |
| base_model: google/gemma-2-2b-it | |
| tags: | |
| - tamazight | |
| - tifinagh | |
| - morocco | |
| - awal | |
| - unsloth | |
| - gemma-2 | |
| pipeline_tag: text-generation | |
| library_name: unsloth | |
| # 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. |