prithivMLmods/hex-1-f32-GGUF

hex-1-f32-GGUF

Hex1 is a 4B parameter, open-source language model optimized for Indian languages, designed to address India’s linguistic diversity by enabling intelligent systems that natively understand and respond in Hindi, Kannada, Telugu, Tamil, and Malayalam. Built on the Qwen/Qwen3-4B-Base, Hex1 outperforms leading models such as Gemma-2B, LLaMA-3.2-3B, and Sarvam-1 on key benchmarks like MMLU, making it one of the most capable options for Indic language tasks. The model supports commercial licensing to empower businesses and developers to build applications without restrictive usage terms, and promises future expansion to cover more Indian languages. With robust multilingual performance and accessible open-source availability, Hex1 aims to include the 90% of India’s population underserved by English-centric AI, unlocking the potential of Generative AI across India’s rich linguistic landscape.

Model Files

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):