okaforpascal40/BaobabAI-v0.2

🌳 BaobabAI v0.2

Africa's first continental AI model — now with 15 languages and 86,604 training pairs.

Named after the Baobab tree — the Tree of Life across Africa. Lives 2,000+ years. Feeds entire ecosystems. That is the vision.

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🚀 What's New in v0.2

• 3x more training data — 86,604 training pairs
• 5x more training steps — 500 steps
• 4 new languages added
• Training loss improved: 2.81 → 2.07
• New data sources: Glot500 + CulturaX + Masakhane

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🌍 Languages Supported

Language	Country	Speakers
Hausa	Nigeria/Niger/Chad	70M+
Yoruba	Nigeria/Benin/Togo	45M+
Igbo	Nigeria	30M+
Nigerian Pidgin	West Africa	75M+
Swahili	Kenya/Tanzania	200M+
Amharic	Ethiopia	35M+
Somali	Somalia/Kenya	20M+
Xhosa	South Africa	27M+
Zulu	South Africa	27M+
Shona	Zimbabwe	15M+
Luganda	Uganda	8M+
Lingala	DRC/Congo	70M+
Wolof	Senegal/Gambia	12M+
Oromo	Ethiopia/Kenya	40M+

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📊 Training Details

Parameter	Value
Base Model	Llama 3.2 3B Instruct
Training Pairs	86,604
Training Steps	500
Final Loss	2.07
Method	QLoRA (r=16) via Unsloth
Hardware	NVIDIA Tesla T4
Data Sources	Masakhane, Glot500, CulturaX

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💡 What BaobabAI Can Do

• Summarize African news articles in local languages
• Identify African languages automatically
• Answer questions about African topics
• Process Nigerian Pidgin English natively
• Classify African content by category

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🔧 Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("okaforpascal40/BaobabAI-v0.2")
model = AutoModelForCausalLM.from_pretrained("okaforpascal40/BaobabAI-v0.2")

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🗺️ Roadmap

• v0.3 — 20 languages, 200,000+ training pairs
• v0.5 — Upgrade to 8B model
• v1.0 — Live REST API, enterprise ready
• v2.0 — Continental dominance, 50+ languages

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👨🏿‍💻 Built By

Pascal Okafor Ogbonna | SabiFlow Technologies Limited 🌍 baobabai.dev · GitHub

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📜 License

Apache 2.0 — free to use, modify and build on.

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The tree is planted. The continent will feel its shade. 🌳