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NVIDIA Nemotron 3.5 Lightning 30B A3B BF16

LLMsAI Models & LLMsOpen source · Web

NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 is a large language model designed for customization and domain adaptation. It supports multiple languages and is optimized for research and evaluation at full precision.

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NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 screenshot
NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 screenshot

NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 is a sophisticated large language model developed by NVIDIA. It features a hybrid architecture combining MoE, Mamba-2, and attention mechanisms, with a total of 30 billion parameters, of which 3 billion are active. The model operates with BF16 precision, ensuring high accuracy in processing tasks. It supports a context length of up to 1 million tokens when deployed on a single H100 GPU, making it suitable for handling extensive data inputs.

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The model is designed to be highly customizable, supporting post-training techniques such as supervised fine-tuning, reinforcement learning, and distillation. This flexibility allows users to adapt the model to specific domains, create quantized variants, and conduct research and evaluation at full precision. NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 is particularly well-suited for tasks requiring extensive reasoning and complex data processing.

The model supports multiple languages, including English, Spanish, French, German, Italian, and Japanese, as well as various coding languages. It is optimized for deployment on NVIDIA hardware, including Blackwell, Hopper, and Ampere series GPUs. The model also includes speculative decoding capabilities for low concurrency data center deployments, enhancing its efficiency in specific use cases.

Released under the OpenMDW License Agreement version 1.1, NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 is available for global deployment. It is ideal for organizations looking to leverage advanced AI capabilities for customization, domain adaptation, and high-precision research.

  • CategoryAI Models & LLMs
  • Pricing ModelOpen source
  • DeploymentCloud
  • PlatformsWeb

  • 30 billion parameters

  • BF16 precision

  • MoE, Mamba-2, and attention hybrid architecture

  • Supports up to 1 million tokens

  • Customizable post-training

  • Supports multiple languages

  • Optimized for NVIDIA hardware

  • Speculative decoding capabilities

  1. Access model page: Visit the Hugging Face model page

  2. Authenticate: Log in to your Hugging Face account

  3. Configure: Set up the model with desired parameters

  4. Send prompts: Input data for processing

  5. Fine-tune: Customize the model for specific tasks

  • Domain Adaptation
  • Research and Evaluation
  • Customization
  • Multilingual Support
  • Speculative Decoding

From NVIDIA

A model in Nemotron 3 Nano Omni.

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