// Get open-weight models

NVIDIA Nemotron 3.5 Bolt 74B-A9B

NVIDIA’s vision-language model for running everyday agentic tasks locally: Mamba-2/Transformer hybrid LatentMoE, 74B total / 9B active, up to 256K context, text/image/video in; native 2-bit (QAT) packing fits 24GB, deployed with vLLM on A100 / H100 / Blackwell per the card. Commercial use allowed (OpenMDW-1.1)

Open source Maintained For developers

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NVIDIA Nemotron 3.5 Bolt 74B-A9B is NVIDIA’s vision-language model for running everyday agentic tasks locally: Mamba-2/Transformer hybrid LatentMoE, 74B total / 9B active, up to 256K context, text/image/video in; native 2-bit (QAT) packing fits 24GB, deployed with vLLM on A100 / H100 / Blackwell per the card. Commercial use allowed (OpenMDW-1.1).

Good for: Developers and teams who want to get open-weight models.

01How to start

1Read the official quick-start (link above).
2Install or sign up as the official guide describes.
3Try it on a small example before wiring it into a project.

02Alternatives & comparison

Compare side by side →

DeepSeek-V3 Open-weight models ★ 105k Qwen3 Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud. ★ 28k gpt-oss gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI ★ 20k Qwen3-Coder Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team. ★ 17k Kimi-K2 Kimi K2 is the large language model series developed by Moonshot AI team ★ 11k

Versions, why it is listed, for AI to read

For AI agents

Interfaces：its own app or website
Machine-readable record：/api/v1/software/nemotron-3-5-bolt.json · llms.txt
Added 2026-10-20