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mohamedazelmad
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mohamedazelmad
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Supported Functionality
AWAL GPT is part of a larger initiative to build a complete AI ecosystem for Tamazight, including:
This model is fine-tuned from:
using instruction tuning on Amazigh datasets.
Current focus:
Future versions aim to support:
python
from transformers import AutoTokenizer, AutoModelForCausalLM model_name = "mohamedazelmad/awal-gpt-v0.2-7b" tokenizer = AutoTokenizer.from_pretrained(model_name)model = AutoModelForCausalLM.from_pretrained(model_name) prompt = "Mani ismk?" inputs = tokenizer(prompt, return_tensors="pt") outputs = model.generate( **inputs, max_new_tokens=128) print(tokenizer.decode(outputs[0], skip_special_tokens=True))The next generation will include:
If you use this model in your research, please cite:
bibtex
@misc{awalgpt2026, title={AWAL GPT: Large Language Models for Amazigh (Tamazight)}, author={Mohamed Azelmad}, year={2026}, publisher={Hugging Face}, url={https://huggingface.co/mohamedazelmad/awal-gpt-v0.2-7b}}Author: Mohamed Azelmad
For collaborations, research partnerships, or contributions related to Amazigh AI and NLP, feel free to connect via LinkedIn or Hugging Face.
This project builds upon open-source technologies from the AI community, including:
Special thanks to everyone working on low-resource languages and open AI research.
from transformers import AutoTokenizer, AutoModelForCausalLM model_name = "mohamedazelmad/awal-gpt-v0.2-7b" tokenizer = AutoTokenizer.from_pretrained(model_name)model = AutoModelForCausalLM.from_pretrained(model_name) prompt = "Mani ismk?" inputs = tokenizer(prompt, return_tensors="pt") outputs = model.generate( **inputs, max_new_tokens=128) print(tokenizer.decode(outputs[0], skip_special_tokens=True))@misc{awalgpt2026, title={AWAL GPT: Large Language Models for Amazigh (Tamazight)}, author={Mohamed Azelmad}, year={2026}, publisher={Hugging Face}, url={https://huggingface.co/mohamedazelmad/awal-gpt-v0.2-7b}}