NVIDIA: Llama 3.3 Nemotron Super 49B v1

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

Created Apr 8, 2025131,072 context

$0.13/M input tokens$0.40/M output tokens

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 for more.

NVIDIA: Llama 3.3 Nemotron Super 49B v1

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

Created Apr 8, 2025131,072 context

$0.13/M input tokens$0.40/M output tokens

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 for more.

Sample code and API for Llama 3.3 Nemotron Super 49B v1

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