Apache 2.0 — Open Weights

AI That Speaks Nigerian

Your AI shouldn't sound like
it learned English from a textbook.

NaijaMind is a fine-tuned language model built to understand Nigeria — its languages, its business, and the way its people actually communicate. No more AI that doesn't know what "abeg" means.

Join the Waitlist → How It Works

        
# NaijaMind understands what generic AI misses
 
User: Abeg, my network don finish. I no fit transfer the money.
 
Generic AI: I apologize, but it appears your network connection has been depleted.
 
NaijaMind: No wahala! You fit do bank transfer or send via POS. Which one you prefer?
 
# ↳ Understands the language, the constraints, and the solution

"Generic AI: I apologize, but it appears your network connection has been depleted."
NaijaMind: "No wahala! You fit do bank transfer or send via POS. Which one you prefer?"
— One of these sounds like a real Nigerian conversation.

Generic AI vs NaijaMind

The gap is bigger than you think.

Generic AI speaks formal English. Nigeria speaks Pidgin, code-switches, and does business on WhatsApp.

✗ Generic AI

✗ Doesn't know what "abeg" means

✗ Assumes credit card payments

✗ Has no sense of local pricing

✗ Ignores WhatsApp as a channel

✗ Formal, robotic responses

✓ NaijaMind

✓ Native Pidgin speaker ("wahala", "sef", "abeg")

✓ Knows Paystack, Flutterwave, bank transfer, USSD

✓ Understands ₦500 vs ₦50,000 buying power

✓ WhatsApp-first customer behavior native

✓ Warm, culturally appropriate tone

What Makes It Different

Three layers of Nigerian intelligence.

NaijaMind doesn't just translate — it understands context, culture, and commerce.

🗣️

Pidgin English Native

Understands "sef", "wahala", "no wahala", "abeg", "how far", "wetin dey", "I no sabi", "comot", "dash", "gbege" — and hundreds more.

💼

Business Context Aware

Knows Paystack, Flutterwave, bank transfer, USSD, Airtime as currency, POS agents, and local pricing psychology.

📍

Geographically Grounded

Lagos traffic, Abuja rent, PH logistics, "Danfo", "Keke NAPEP", "Okada" — and the cultural difference between a "Lagos boy" and an "Abuja person".

🔓

Apache 2.0 Licensed

Open weights. Free for any use — personal, research, commercial. Built to be used, not gatekept.

🧠

Built on Qwen 3

Fine-tuned from Qwen 3-4B — the strongest small open-source model family. Apache 2.0, dense architecture, easy to fine-tune.

⚡

Runs Anywhere

GGUF quantized versions run on laptops, edge devices, or servers. No expensive API needed.

Use Cases

What you can build with NaijaMind.

From customer support to content creation — AI that finally sounds Nigerian.

💬

Customer Support Chatbots

Chatbots that actually sound Nigerian — warm, culturally appropriate, using Pidgin naturally. Handles "Abeg my network don finish, I no fit transfer."

Customer: "Abeg, my data don finish. I no fit buy new one till tomorrow."
NaijaMind: "No wahala! I don note your request. You fit still get free customer service code — dial *121# to check. I go dey here tomorrow."

📈

Sales AI

Sales assistants that understand local objections, pricing expectations, and WhatsApp-based sales funnels.

Customer: "Na too much o. My oga no go approve that amount."
NaijaMind: "I under. Wetin be your budget? We get plan from ₦15,000 wey fit work for your oga. Plus, you fit pay in two installments via Paystack."

✍️

Content Generators

Write blog posts, captions, and ad copy in authentic Nigerian English and Pidgin. Understands what Nigerian Twitter finds funny.

Prompt: "Write a tweet about Lagos traffic"
NaijaMind: "Me wey leave house 5am, I still dey stuck for Third Mainland Bridge by 8am. Lagos, abeg wetin I do you? 😩 #LagosTraffic #NaijaLife"

🎤

Voice Assistants

Foundation for voice agents that interact in Pidgin and Nigerian-accented English. From IVR systems to smart assistants.

Voice input: "I wan check my account balance"
NaijaMind: "You fit dial *894*00# for GTBank, or I fit help you check if you just tell me your PIN."

Technical Foundation

Why Qwen 3? The research says it all.

After evaluating DeepSeek, Llama 3, and Qwen 3 — here is why Qwen 3 is the optimal base for NaijaMind.

Criterion	Qwen 3 Our Pick	DeepSeek V3.2	Llama 3
License	Apache 2.0 ✅	MIT (V3.2) / Custom (R1)	Llama (restrictions apply)
Fine-tune Practicality	Dense 0.6B-32B — easy LoRA 🏆	MoE 671B — impractical to FT	Dense — good but license limits
Small Model Quality	4B matches 72B 🔥	Distilled variants available	8B capable, 3B weaker
Min VRAM (QLoRA FT)	~6GB (4B model)	N/A (too large)	~8GB (3B model)
Ecosystem	Unsloth, Ollama, vLLM 🏆	Good, FT docs limited	Most mature FT ecosystem

Your AI shouldn't sound likeit learned English from a textbook.