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nemotron-3.5-super-vl

Public

NVIDIA's 120B vision-language MoE reasoning model

275 Downloads

1 star

Capabilities

Vision Input
Reasoning

Minimum system memory

70GB

Tags

120B
nemotron_h_moe

README

NVIDIA Nemotron 3.5 Super VL

Vision-language reasoning model trained by NVIDIA. Pairs a hybrid Mixture-of-Experts language backbone (interleaved Mamba-2 and MoE layers, with select Attention layers) with a C-RADIO v4-H vision encoder. Contains 120B total parameters with only 12B active at a time, and includes a built-in Multi-Token Prediction (MTP) head for faster generation.

Accepts image and text input for document intelligence, GUI understanding, and visual Q&A. Features a reasoning toggle to enable or disable intermediate reasoning traces, and an optional medium reasoning effort mode. Includes native agentic capabilities for tool use and structured output. Supports English, French, Spanish, Italian, German, Japanese, Hindi, Korean, Brazilian Portuguese, and Chinese.

Supports a context length of 1M tokens.

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

Repeat Penalty
1
Temperature
1
Top P Sampling
0.95

Sources

The underlying model files this model uses