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NVIDIA: Llama 3.3 Nemotron Super 49B v1

nvidia/llama-3.3-nemotron-super-49b-v1

Llama-3.3-Nemotron-Super-49B-v1 is a large language model (LLM) optimized for advanced reasoning, conversational interactions, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta's Llama-3.3-70B-Instruct, it employs a Neural Architecture Search (NAS) approach, significantly enhancing efficiency and reducing memory requirements. This allows the model to support a context length of up to 128K tokens and fit efficiently on single high-performance GPUs, such as NVIDIA H200.

Note: you must include detailed thinking on in the system prompt to enable reasoning. Please see Usage Recommendations(opens in new tab) for more.

Model weights

Modalities

Context

Avg

131K

Released

Apr 8, 2025

Knowledge Cutoff

Mar 2024

Activity

Activity

Token volume and request traffic to this model over time.