IndicGuard is a multilingual content safety guardrail model for Indic languages, built as a LoRA adapter on top of Gemma-3-4B-IT via Unsloth. It moderates human–LLM conversations and classifies user prompts and agent responses as safe or unsafe. When content is unsafe, the model additionally returns the violated safety categories from a 23-class taxonomy. The model is trained on IndicGuard dataset which is built on top of the CultureGuard dataset. IndicGuard supports 10 Indic languages: Hindi, Marathi, Bengali, Tamil, Telugu, Kannada, Malayalam, Gujarati, Punjabi, and Odia. — Developed by: L3Cube-Labs — Model type: LoRA fine-tuned causal language model (PEFT) — Base model: unsloth/gemma-3-4b-it-unsloth-bnb-4bit — Languages: Hindi (hi), Marathi (mr), Bengali (bn), Tamil (ta), Telugu (te), Kannada (kn), Malayalam (ml), Gujarati (gu), Punjabi (pa), Odia (or) — License: apache-2.0 — Paper: IndicGuard Input: A conversation in one of the supported Indic languages, formatted with the safety taxonomy instruction prompt (see Prompt Format below). The base Gemma-3-4B model is loaded with 4-bit quantization; the IndicGuard LoRA adapter is then applied on top. This requires roughly 6–8 GB…
Модальности:
Генерация текста
Области применения:
Диалог / чат Мультиязычность
Задача: Генерация текста
Автор: l3cube-pune
Теги: peft, lora, sft, trl, unsloth, safety, content-moderation, indic-languages
Лайков: 4 | Загрузок: 344
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
