Axiveri/Africlaude-7B

Africlaude-7B: AI Infrastructure for Africa

Africlaude-7B, developed by Axiveri, is a 7.6 billion parameter language model designed as foundational AI infrastructure for African developers and fintech companies. Unlike models trained predominantly on Western data, Africlaude-7B natively understands and processes contexts specific to the African tech landscape, including Nigerian English and Pidgin English, USSD workflows, and African payment APIs like Paystack and Flutterwave.

Key Capabilities & Differentiators

• African Context Mastery: Deep understanding of Nigerian fintech regulations (CBN KYC), fraud patterns, and local developer tooling.
• Multilingual Proficiency: Achieves a perfect 1.00 score on Pidgin English in benchmarks, a domain where competing models scored 0.00.
• Benchmark Performance: Outperforms LLaMA-3.1-8B, Qwen2.5-Coder-7B, and Mistral-7B-v0.3 on the AfriclaudeBench v1.0, with an overall score of 0.791.
• Specialized Training: Fine-tuned using QLoRA on a diverse dataset including Nigerian fintech workflows, Pidgin English instruction pairs, USSD engineering, and African fraud detection.

Ideal Use Cases

• Fintech Solutions: Developing applications requiring knowledge of African payment systems, CBN compliance, and financial fraud detection.
• Developer Tools: Building tools and services for African developers, understanding local coding patterns and integration needs.
• Localized Content Generation: Creating content or chatbots in Nigerian English and Pidgin English.
• AI Infrastructure: Serving as a base model for African companies to build specialized AI applications upon.