jamba-instruct vs llama-3-70b-instruct

ai21/jamba-instruct is an instruction-tuned LLM from AI21 Labs, built on the Mamba-Transformer architecture. It provides a 256k-token context window and excels at tasks like summarization, entity extraction, function calling, JSON-based output, and citation. It is specifically designed for enterprise use and top-tier performance across multiple benchmarks.

meta-llama/llama-3-70b-instruct is an instruction-tuned language model from Meta’s Llama 3 family, designed for assistant-like dialogue and general natural language generation tasks. It leverages supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences. With 70B parameters, it offers strong performance and is suitable for commercial and research use cases.