Harness the Power of Together AI's Llama-3.3-70B-Instruct-Turbo-Free Model

The Meta Llama 3.3-70B Instruct Turbo model represents a significant advancement in large language models, offering unparalleled efficiency and performance without costing a penny. Released on December 6, 2024, this model is a product of extensive development by Meta and is supported by Together AI along with other platforms.

Model Overview

Designed for superior text generation and instruction-following tasks, the Llama 3.3-70B Instruct Turbo leverages cutting-edge AI techniques. By employing FP8 quantization, it achieves rapid inference speeds while maintaining a high degree of accuracy. This performance is further enhanced by Grouped-Query Attention (GQA), which improves inference scalability.

Key Features

• Performance and Efficiency: Experience lightning-fast computations that do not compromise on quality, thanks to FP8 quantization and GQA.
• Capabilities: This model excels in multilingual dialogue and supports languages such as English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. It demonstrates strong capabilities in reasoning, mathematics, and general knowledge, and supports function calling.
• Context Window and Output: With a context window of 128K tokens and the ability to generate up to 2,048 tokens per request, it opens up new possibilities for complex interactions.

Training and Data

The Llama 3.3-70B was trained on a diverse dataset comprising over 15 trillion tokens from various publicly available texts, with a knowledge cut-off date of December 2023. This extensive training ensures the model's robustness and accuracy.

Deployment and Licensing

Available under the Llama 3.3 Community License Agreement, this model allows for flexibility in customization while avoiding vendor lock-in. Together AI provides both serverless and dedicated endpoints, ensuring high-quality and consistent performance, essential for mission-critical applications.

Applications

Developers and researchers can leverage this model for advanced natural language processing needs in chatbots, virtual assistants, content creation tools, and educational software. Its optimized transformer architecture, combined with supervised fine-tuning and reinforcement learning with human feedback, ensures alignment with human preferences for helpfulness and safety.

Technical Details

Accelerated by TensorRT-LLM, this model is optimized for large language model inference on NVIDIA GPUs, making it a powerful tool for various applications.

Providers and Integration

Available through API providers such as Fireworks, DeepInfra, and Hyperbolic, the model is easily accessible. Together AI's Together Turbo serverless endpoint and Dedicated Endpoints further ensure fast, accurate, and cost-effective computations.