munzurul/speaklar_gemma-3-1b-it
The munzurul/speaklar_gemma-3-1b-it is a 1 billion parameter Gemma 3 instruction-tuned model developed by munzurul. It is specifically fine-tuned for grounded Bengali voice-bot conversations, excelling at answering from supplied evidence, handling unavailable information, and managing voice-agent style constraints. This model is optimized for tasks requiring detailed information gathering for orders and appointments, and safely managing sensitive requests.
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Overview
The munzurul/speaklar_gemma-3-1b-it is a 1 billion parameter Gemma 3 instruction-tuned model, specifically fine-tuned for grounded Bengali voice-bot conversations. It is designed to operate within a knowledge-base context, providing answers based on supplied evidence and indicating when information is unavailable.
Key Capabilities
- Contextual Grounding: Answers questions strictly from provided knowledge-base context.
- Bengali Voice-Agent Style: Adheres to specific stylistic constraints for Bengali voice agents.
- Information Gathering: Efficiently gathers essential details for orders and appointments.
- Safe Handoff: Capable of safely handing off sensitive or unsupported requests.
- Multilingual Input: Trained on Bengali, English, and Banglish inputs, with Bengali-only assistant outputs.
Training Details
The model was fine-tuned using QLoRA on a 15,000-example Bengali voice-bot behavior dataset. This dataset covers a range of scenarios including evidence-grounded answers, abstention, calculations, order/appointment intake, payment safety, complaint intake, and human handoff.
Good For
- Developing Bengali voice-bots that require grounded responses.
- Applications needing to extract specific information for transactional purposes (e.g., booking, ordering).
- Systems where safe and controlled responses are critical, especially for sensitive user interactions.