Activefrontierllm Proprietary

Llama 3.1 Nemotron Ultra 253B

by NVIDIA· Released October 2024· Cutoff December 2023

Llama 3.1 Nemotron Ultra 253B is a large language model developed by NVIDIA, based on Meta's Llama 3.1 architecture with enhancements for improved reasoning and instruction following. It is part of NVIDIA's Nemotron model family, designed for enterprise-grade AI applications requiring high accuracy and reliability.

Official Site API Docs

Input cost

$5.00 per 1M tokens

Output cost

$15.00 per 1M tokens

Context window

128K tokens

Max output

4096 tokens

Modalities

text

Parameters

253B

License

proprietary

Capabilities

Function CallingCode GenerationStreamingJSON ModeInstruction FollowingReasoning

Best For

Enterprise applications requiring high-quality reasoning, code generation, and instruction following with a large context window.

Strengths

Strong reasoning and problem-solving capabilities
Large 128K context window for handling long documents
High accuracy on complex instruction following tasks
Optimized for NVIDIA hardware for efficient inference

Limitations

Very large model size (253B parameters) leading to high computational cost
Not multimodal; text-only input/output
Proprietary license with usage restrictions
May require significant GPU resources for deployment

Use Cases

Advanced code generation and debugging

Complex document analysis and summarization

Enterprise chatbots and virtual assistants

Data extraction and structured output generation

Research and development in AI reasoning

Automated report generation

Knowledge base querying and reasoning

Improvements Over Previous Model

Based on Llama 3.1 architecture with NVIDIA enhancements for reasoning
Larger parameter count (253B) compared to Llama 3.1 405B? (Note: Llama 3.1 405B is larger; this model is smaller but optimized)
Improved instruction following and reasoning benchmarks over base Llama 3.1
Optimized for NVIDIA GPUs with faster inference via TensorRT-LLM
Supports function calling and JSON mode natively

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Improvements Over Previous Model

Based on Llama 3.1 architecture with NVIDIA enhancements for reasoning

Larger parameter count (253B) compared to Llama 3.1 405B? (Note: Llama 3.1 405B is larger; this model is smaller but optimized)

Improved instruction following and reasoning benchmarks over base Llama 3.1

Optimized for NVIDIA GPUs with faster inference via TensorRT-LLM

Supports function calling and JSON mode natively