NvidiaLlama 3.1deepTool use

Llama 3.1 Nemotron 70B Instruct

NVIDIA's Llama 3.1 Nemotron 70B is a language model designed for generating precise and useful responses. Leveraging [Llama 3.1 70B](/models/meta-llama/llama-3.1-70b-instruct) 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 Accep

131K context·~98K words·16K max output
Context window131Ktokens
Max output16Ktokens

Context window

This model accepts 131K tokens in one request (~98K words of text).

Context window size131K tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Fits
  • Small codebase
    About 150K words of text
    Won't fit
  • Full novel
    About 375K words of text
    Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window
131,072 tokens (131K)
Max output tokens
16,384 tokens (16K)
Speed tier
deep
Provider
Nvidia
Model family
Llama 3.1
Release date
Oct 2024

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (3)
Tool use
Supported
Function calling
Supported
Streaming
Supported
Not supported (5)
Vision
Not supported
Extended thinking
Not supported
Web search
Not supported
Batch API
Not supported
Prompt caching
Not supported

Best for

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Frequently asked questions

Short answers about context size and how this model behaves.

Llama 3.1 Nemotron 70B Instruct has a context window of 131K tokens (131,072 tokens). This covers most professional use cases including large code files, lengthy reports, and long conversation histories.

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