LLaMA-70B

LLaMA-70B (Llama 3.3) is Meta's flagship 70-billion-parameter Large Language Model (LLM), an instruction-tuned, multilingual powerhouse optimized for complex dialogue and reasoning tasks.

This is the Llama 3.3 70B model, a high-performance, instruction-tuned LLM from Meta, designed for both commercial and research applications. Architecturally, it utilizes an optimized transformer design with 70 billion parameters, incorporating Grouped-Query Attention (GQA) for efficient inference scalability. The model is trained on over 15 trillion tokens of public data and instruction-tuned using SFT and RLHF for superior alignment. It supports an extended context length of up to 128K tokens, making it capable of handling large-scale document analysis and complex, long-form conversations. Performance benchmarks are strong: Llama 3.3 70B achieves an 86.0% accuracy on MMLU and an 88.4% pass@1 on HumanEval (code generation), positioning it as a top-tier open model for advanced language understanding, code generation, and multilingual problem-solving.

https://llama.com/