What it is
NVIDIA’s Nemotron-4-340B-Base is a large multilingual language model with 340 billion parameters, supporting a context length of 4,096 tokens. It was pre-trained on 9 trillion tokens, including over 50 natural languages and 40 coding languages, to facilitate synthetic data generation for developing custom LLMs….
Gabriel’s notes
Nvidia’s newest LLM and the largest open-source LLM in existence as of June 2024.
Good fit if you want to:
- Use this when you want a practical starting point for exploring the topic.
Pricing snapshot (auto-enriched): No explicit pricing information is provided; the model is available under the NVIDIA Open Model License, implying free use under license terms, but deployment or usage costs are not specified.
Work-use / compliance snapshot (auto-enriched): The NVIDIA Nemotron-4-340B-Base model is commercially usable under the NVIDIA Open Model License, allowing derivative models, but does not explicitly state data handling, retention, SSO availability, or compliance certifications such as SOC2, HIPAA, or GDPR, so workplace use requires internal compliance verification.
Alternatives (auto-enriched): Alternative: OpenAI GPT-4 | Comparison: GPT-4 offers broader general-purpose capabilities and more extensive fine-tuning options, while Nemotron-4-340B-Base is optimized for synthetic data generation and supports a wide range of natural and coding languages.
Note: pricing and policy details can change—verify on the official site before making decisions.