Llama 3.3

Llama 3.3 70B refines Meta’s widely used 70B checkpoint to deliver clearer step-by-step reasoning, better code understanding, and more faithful instruction following while keeping latency predictable for production. It’s a text-in/text-out, instruction-tuned model with solid multilingual capability and clean integration points for agents: stable streaming, schema-guided function calls, and deterministic JSON formatting that plays well with RAG and orchestration frameworks. The weights are released under the Llama community license and run across common inference stacks on-prem or in the cloud; quantized builds make single-node serving practical, and standard runtimes handle high-throughput deployments. If you’re coming from earlier 3.x releases, it slots in with minimal prompt or API changes while yielding noticeably stronger analysis and coding quality.