Nandi Mini 150M Introduction Nandi Mini 150M is a compact, efficient multilingual language model designed for strong performance in resource constrained environments. It is pre trained from scratch on 525 billion tokens and supports English and 10 Indic languages . We do not employ any benchmaxing tricks; the model is designed to be genuinely strong and highly effective for fine tuning on downstream tasks. Nandi Mini 150M focuses on maximizing performance per parameter through architectural efficiency rather than scale. It is optimized for edge devices, on prem deployments, and low latency applications, making it ideal for resource constrained environments. Nandi Mini 150M brings the following key features: Strong multilingual capability across English and Indic languages Efficient design enabling high performance at small scale (150M parameters) Reduced memory footprint using factorized embeddings Better parameter efficiency through layer sharing 📝 Upcoming Releases & Roadmap We’re just getting started with the Nandi series 🚀 Nandi Mini 150M (Base) — Available now Nandi Mini 150M (Instruct) — Available now Nandi Mini 500M (Base + Instruct) — Pre Training Going On Nandi Mini 1B (…
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