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

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.

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.