Llama 3.1 Instruct 8B

Llama 3.1 8B Instruct is an instruction-tuned large language model (LLM) developed by Meta, optimized for multilingual dialogue and general-purpose instruction following. It is part of the Llama 3.1 collection, which introduced significant improvements in context handling and multilingual support compared to its predecessors. This 8-billion parameter model is designed to provide high performance in a compact footprint, making it suitable for efficient deployment in diverse environments.

The model features a significantly expanded context window of 128K tokens, allowing it to process and reason over lengthy documents and extensive conversation histories. Its architecture utilizes an optimized transformer with Grouped-Query Attention (GQA) for improved inference scalability and efficiency. The model was pre-trained on a massive dataset of approximately 15 trillion tokens with a knowledge cutoff of December 2023.

Fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), the Llama 3.1 8B Instruct model is aligned for helpfulness and safety. It natively supports eight primary languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. Beyond dialogue, the model is capable of handling complex tasks such as summarization, translation, and code generation.