unsloth/Llama-3.2-1B-Instruct

Overview

unsloth/Llama-3.2-1B-Instruct is a 1 billion parameter instruction-tuned model from Meta's Llama 3.2 collection. This model is part of a family of multilingual large language models (LLMs) designed for text-in/text-out generative tasks. It utilizes an optimized transformer architecture and incorporates Grouped-Query Attention (GQA) to enhance inference scalability.

Key Capabilities

• Multilingual Dialogue: Optimized for multilingual dialogue use cases, supporting English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
• Agentic Retrieval & Summarization: Specifically designed to excel in agentic retrieval and summarization tasks.
• Instruction-Tuned: Fine-tuned using Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) to align with human preferences for helpfulness and safety.

Good For

• Developing applications requiring multilingual conversational AI.
• Implementing agentic systems for information retrieval and summarization.
• Fine-tuning on custom datasets for specific language tasks, provided compliance with the Llama 3.2 Community License.