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Model: mohamedazelmad/awal-gpt-v0.2-7b Source: Original Platform
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# ollama modelfile auto-generated by llamafactory
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FROM .
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TEMPLATE """{{ if .System }}<|im_start|>system
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{{ .System }}<|im_end|>
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{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}<|im_start|>user
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{{ .Content }}<|im_end|>
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<|im_start|>assistant
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{{ else if eq .Role "assistant" }}{{ .Content }}<|im_end|>
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{{ end }}{{ end }}"""
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SYSTEM """You are Qwen, created by Alibaba Cloud. You are a helpful assistant."""
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PARAMETER stop "<|im_end|>"
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PARAMETER num_ctx 4096
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README.md
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---
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language:
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- ber
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- tmz
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- ar
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- en
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- tamazight
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- amazigh
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- berber
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- llm
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- nlp
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- qwen
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- chatbot
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- low-resource-language
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- morocco
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- africa
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- text-generation
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---
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# AWAL GPT v0.2 7B
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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**.
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To the best of the author's knowledge, this is **the first open-source Amazigh (Tamazight Latin script) LLM developed in Morocco**.
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The project aims to contribute to the preservation, digitization, and advancement of Amazigh through Artificial Intelligence and Natural Language Processing.
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## Project Goals
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AWAL GPT is part of a larger initiative to build a complete AI ecosystem for Tamazight, including:
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- Large Language Models (LLMs)
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- Intelligent Chatbots
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- Speech-to-Text (ASR)
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- Text-to-Speech (TTS)
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- Machine Translation
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- Grammar Correction
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- OCR
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- Retrieval-Augmented Generation (RAG)
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- Voice Assistants
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---
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# Base Model
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This model is fine-tuned from:
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- Qwen2.5-7B
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using instruction tuning on Amazigh datasets.
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---
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# Supported Language
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Current focus:
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- Moroccan Tamazight (Latin script)
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Future versions aim to support:
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- Tifinagh
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- Arabic script
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- Multiple Amazigh dialects (Tashelhit, Central Atlas Tamazight, Tarifit)
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---
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# Example
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_name = "mohamedazelmad/awal-gpt-v0.2-7b"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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prompt = "Mani ismk?"
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(
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**inputs,
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max_new_tokens=128
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)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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---
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# Intended Uses
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- Research
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- Education
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- Amazigh NLP
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- Chatbots
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- Language preservation
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- AI experimentation
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- Academic projects
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---
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# Limitations
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- The model is still under active development.
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- Performance may vary across different Amazigh dialects.
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- Responses may contain factual inaccuracies or hallucinations.
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- Not intended for high-risk applications without human verification.
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---
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# Roadmap (AWAL GPT V2)
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The next generation will include:
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- Improved reasoning
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- Larger training corpus
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- Better instruction following
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- Speech capabilities (ASR/TTS)
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- Translation system
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- OCR
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- RAG integration
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- Voice assistant
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- Public web interface
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- WhatsApp integration
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---
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# Citation
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If you use this model in your research, please cite:
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```bibtex
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@misc{awalgpt2026,
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title={AWAL GPT: Large Language Models for Amazigh (Tamazight)},
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author={Mohamed Azelmad},
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year={2026},
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publisher={Hugging Face},
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url={https://huggingface.co/mohamedazelmad/awal-gpt-v0.2-7b}
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}
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```
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---
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# Contact
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**Author:** Mohamed Azelmad
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For collaborations, research partnerships, or contributions related to Amazigh AI and NLP, feel free to connect via LinkedIn or Hugging Face.
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---
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# Acknowledgements
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This project builds upon open-source technologies from the AI community, including:
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- Qwen
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- Hugging Face Transformers
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- PyTorch
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- TRL
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- PEFT
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- Unsloth
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Special thanks to everyone working on low-resource languages and open AI research.
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awal-q8.gguf
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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||||
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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||||
{%- for tool in tools %}
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||||
{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{{- '\n<tool_response>\n' }}
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|
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|
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|
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|
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"model.norm.weight": "model-00004-of-00004.safetensors"
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}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
||||
size 11421892
|
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30
tokenizer_config.json
Normal file
30
tokenizer_config.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
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"clean_up_tokenization_spaces": false,
|
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
|
||||
"<|im_start|>",
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||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
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||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
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||||
"is_local": false,
|
||||
"local_files_only": false,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
Reference in New Issue
Block a user