NVIDIAReleased June 14, 2024

Nemotron 4 340B

Open Source340B parameters

Context

4K

Input

Free (open)

Key Specifications

🏆

Arena Rank

Not disclosed

📐

Context Window

4K

📥

Input Price

per 1M tokens

Free (open)

📤

Output Price

per 1M tokens

Free (open)

🧠

Parameters

340B

🔓

Open Source

Yes

Best For

Synthetic data generationtraining pipelines

About Nemotron 4 340B

Nemotron 4 340B is NVIDIA's large language model designed specifically for generating high-quality synthetic training data. With 340 billion parameters, it can produce diverse, accurate training examples for fine-tuning smaller models. NVIDIA released it to accelerate the development of custom AI models, recognizing that high-quality training data is often the biggest bottleneck in model development.

Built byNVIDIA

Pricing per 1M tokens

Input Tokens

Free (open)

Output Tokens

Free (open)

Frequently Asked Questions

What is Nemotron 4 340B?
Nemotron 4 340B is NVIDIA's large language model designed specifically for generating high-quality synthetic training data. With 340 billion parameters, it can produce diverse, accurate training examples for fine-tuning smaller models. NVIDIA released it to accelerate the development of custom AI models, recognizing that high-quality training data is often the biggest bottleneck in model development.
How much does Nemotron 4 340B cost?
Nemotron 4 340B costs Free (open) per 1 million input tokens and Free (open) per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Nemotron 4 340B's context window?
Nemotron 4 340B has a context window of 4K tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Nemotron 4 340B open source?
Yes, Nemotron 4 340B is open source. This means the model weights are publicly available, allowing developers and organizations to download, fine-tune, and self-host the model on their own infrastructure. Open-source models offer greater flexibility and data privacy control.
What is Nemotron 4 340B best for?
Nemotron 4 340B is best suited for: Synthetic data generation, training pipelines. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within NVIDIA's model lineup.