A Hindi instruction-tuned version of Qwen3-4B, fine-tuned to follow instructions and respond naturally in Hindi. Built for developers, researchers, and builders who need a capable, openly-licensed Hindi language model that runs on modest hardware. Part of the Hindi LLM Series — a collection focused on bringing strong Indic-language models to local and edge deployment. > 💡 Looking to run this locally on CPU? Use the GGUF version (Q4/Q5/Q8) with llama.cpp, Ollama, or LM Studio. — Strong Hindi instruction-following — trained on 10K curated Hindi instruction–response pairs — Bilingual — handles both Hindi (Devanagari) and English — Compact — 4B parameters, runs comfortably on a single consumer GPU; quantizes well for CPU — Open license — Apache 2.0, commercial use allowed Fine-tuned with Unsloth for efficient LoRA training. The dataset was filtered to keep only genuinely Hindi (Devanagari) responses, then formatted with the Qwen chat template and trained for one full epoch. The resulting LoRA was merged into 16-bit weights and exported. Intended for: Hindi chat and assistant applications, instruction-following, Indic-language experimentation, and local/edge deployment via GGUF.…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: pankajpandey-dev
Теги: qwen3, hindi, indic, india, instruction-tuned, unsloth, lora, conversational
Лайков: 4 | Загрузок: 46
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
