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NVIDIA: Llama 3.1 Nemotron Nano 8B v1

nvidia/llama-3.1-nemotron-nano-8b-v1

Model weights

Llama-3.1-Nemotron-Nano-8B-v1 is a compact large language model (LLM) derived from Meta's Llama-3.1-8B-Instruct, specifically optimized for reasoning tasks, conversational interactions, retrieval-augmented generation (RAG), and tool-calling applications. It balances accuracy and efficiency, fitting comfortably onto a single consumer-grade RTX GPU for local deployment. The model supports extended context lengths of up to 128K tokens.

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

Modalities

Context

131K

Released

Apr 8, 2025

Knowledge Cutoff

Dec 2023

About NVIDIA: Llama 3.1 Nemotron Nano 8B v1

OpenRouter makes NVIDIA: Llama 3.1 Nemotron Nano 8B v1 available through a unified, OpenAI-compatible API using the model ID nvidia/llama-3.1-nemotron-nano-8b-v1.

NVIDIA: Llama 3.1 Nemotron Nano 8B v1 accepts text and returns text. It has a 131,072-token context window.

It was released on April 8, 2025; its knowledge cutoff is December 31, 2023.

More models from Nvidia

  • Nemotron 3.5 ASR Streaming Multilingual 0.6B
  • Nemotron 3.5 Lightning
  • Nemotron 3 Embed 1B (free)

Frequently asked questions

Llama-3.1-Nemotron-Nano-8B-v1 is a compact large language model (LLM) derived from Meta's Llama-3.1-8B-Instruct, specifically optimized for reasoning tasks, conversational interactions, retrieval-augmented generation (RAG), and tool-calling applications. It balances accuracy and efficiency, fitting comfortably onto a single consumer-grade RTX GPU for local deployment.

Llama 3.1 Nemotron Nano 8B v1 has a 131,072 token context window.

Nemotron 3.5 Lightning, Nemotron 3.5 Content Safety (free), Nemotron 3 Ultra and 5 more are other text models from Nvidia.

Llama 3.1 Nemotron Nano 8B v1 was released on April 8, 2025. Its knowledge cutoff is December 31, 2023.

ActivityFAQ

Activity

Token volume and request traffic to this model over time.