Llama 3.1 Nemotron 70B Instruct

nvidia

NVIDIA's Llama 3.1 Nemotron 70B is a language model designed for generating precise and useful responses. Leveraging Llama 3.1 70B architecture and Reinforcement Learning from Human Feedback (RLHF), it excels in automatic alignment benchmarks. This model is tailored for applications requiring high accuracy in helpfulness and response generation, suitable for diverse user queries across multiple domains. Usage of this model is subject to Meta's Acceptable Use Policy.

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Capabilities

Tool Use

Example Use Cases

Precise helpful response generation

Rlhf-optimized instruction task

Nvidia tool-calling workflow

Technical Specifications

Context Window

131,072 tokens

Max Output

16,384 tokens

Cache Miss Cost

$1.20 per 1M tokens

Non-Reasoning Cost

$1.20 per 1M tokens

Web Search Cost

$15 per 1K calls

Code Execution Cost

$0.19 per 1K calls

⚠️ Legacy

Made legacy on

Reason

Untested

Recommended Replacement

Qwen3.5 Plus