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Model: mohamedazelmad/awal-gpt-v0.2-7b
Source: Original Platform

README.md

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+---
+language:
+- ber
+- tmz
+- ar
+- en
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- tamazight
+- amazigh
+- berber
+- llm
+- nlp
+- qwen
+- chatbot
+- low-resource-language
+- morocco
+- africa
+- text-generation
+---
+
+# AWAL GPT v0.2 7B
+
+AWAL GPT v0.2 is an open-source Large Language Model fine-tuned for the Amazigh (Tamazight) language, with a primary focus on **Latin-script Tamazight used in Morocco**.
+
+To the best of the author's knowledge, this is **the first open-source Amazigh (Tamazight Latin script) LLM developed in Morocco**.
+
+The project aims to contribute to the preservation, digitization, and advancement of Amazigh through Artificial Intelligence and Natural Language Processing.
+
+## Project Goals
+
+AWAL GPT is part of a larger initiative to build a complete AI ecosystem for Tamazight, including:
+
+- Large Language Models (LLMs)
+- Intelligent Chatbots
+- Speech-to-Text (ASR)
+- Text-to-Speech (TTS)
+- Machine Translation
+- Grammar Correction
+- OCR
+- Retrieval-Augmented Generation (RAG)
+- Voice Assistants
+
+---
+
+# Base Model
+
+This model is fine-tuned from:
+
+- Qwen2.5-7B
+
+using instruction tuning on Amazigh datasets.
+
+---
+
+# Supported Language
+
+Current focus:
+
+- Moroccan Tamazight (Latin script)
+
+Future versions aim to support:
+
+- Tifinagh
+- Arabic script
+- Multiple Amazigh dialects (Tashelhit, Central Atlas Tamazight, Tarifit)
+
+---
+
+# Example
+
+```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))
+```
+
+---
+
+# Intended Uses
+
+- Research
+- Education
+- Amazigh NLP
+- Chatbots
+- Language preservation
+- AI experimentation
+- Academic projects
+
+---
+
+# Limitations
+
+- The model is still under active development.
+- Performance may vary across different Amazigh dialects.
+- Responses may contain factual inaccuracies or hallucinations.
+- Not intended for high-risk applications without human verification.
+
+---
+
+# Roadmap (AWAL GPT V2)
+
+The next generation will include:
+
+- Improved reasoning
+- Larger training corpus
+- Better instruction following
+- Speech capabilities (ASR/TTS)
+- Translation system
+- OCR
+- RAG integration
+- Voice assistant
+- Public web interface
+- WhatsApp integration
+
+---
+
+# Citation
+
+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}
+}
+```
+
+---
+
+# Contact
+
+**Author:** Mohamed Azelmad
+
+For collaborations, research partnerships, or contributions related to Amazigh AI and NLP, feel free to connect via LinkedIn or Hugging Face.
+
+---
+
+# Acknowledgements
+
+This project builds upon open-source technologies from the AI community, including:
+
+- Qwen
+- Hugging Face Transformers
+- PyTorch
+- TRL
+- PEFT
+- Unsloth
+
+Special thanks to everyone working on low-resource languages and open AI research.