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nemotron-3.5-lightning

Public

30B MoE model with 3B active parameters, built for always-on agents to complete high-volume tasks

299 Downloads

Capabilities

Minimum system memory

21GB

Tags

30B
nemotron_h_moe

README

NVIDIA Nemotron 3.5 Lightning

NVIDIA Nemotron 3.5 Lightning is a customizable open model built to power always-on agents. Distilled from NVIDIA's frontier Nemotron 3 Ultra model, its hybrid Mixture-of-Experts architecture combines 30B total parameters with 3B active parameters to bring capable agentic AI to local systems, the edge, datacenters, and the cloud.

Highlights

  • Built for always-on agents: trained for popular agent harnesses and designed for long-running, multi-turn workflows that gather context, reason, and act across many steps.
  • Fast specialized task completion: supports multi-token prediction and is designed for fast token generation and efficient token rollout, helping always-on agents complete more steps and finish specialized tasks faster.
  • Open and customizable: organizations can own the model, post-train it for specialized workflows, and retain control over model behavior, data handling, and deployment.
  • Long-context workflows: supports up to a 1M-token context window for long-running, multi-turn workflows.
  • Flexible deployment: designed to run locally on DGX Spark, DGX Station, RTX PRO, and RTX; at the edge on NVIDIA Jetson; and in datacenter and cloud environments.

Custom Fields

Special features defined by the model author

Enable Thinking

: boolean

(default=true)

Controls whether the model will think before replying

Medium Effort

: boolean

(default=false)

Controls whether the model uses medium reasoning effort

Truncate Thinking History

: boolean

(default=true)

Controls whether thinking history will be truncated to save context space

Parameters

Custom configuration options included with this model

Temperature
1
Top P Sampling
0.95

Sources

The underlying model files this model uses