Skip to content
View original post on X: ModelScopeOfficial· Pick75/100AI score75/100

NVIDIA releases Nemotron 3.5 Bolt, a 74B open-weight VLM, on ModelScope

AISummary

NVIDIA's Nemotron 3.5 Bolt is now available on ModelScope as a 74B-A9B open-weight vision-language model that fits in 24GB through native 2-bit quantization.

The post reports 50.98 on Terminal-Bench 2.1 and 66.75 on BrowseComp, and says the model accepts text, images and video with up to 256K shared context. It is released under the OpenMDW License Agreement v1.1, which supports commercial and non-commercial use.

AIWhy it matters

The post gives concrete benchmark scores, quantization details and a deployment path, which helps readers weigh the model for local agent use.

Post on XView on X
ModelScopeVerified on X
@ModelScope2022

NVIDIA Nemotron 3.5 Bolt has landed on ModelScope: a 74B-A9B open-weight VLM in a 24GB footprint.
🤖 https://www.modelscope.ai/collections/nv-community/Nemotron-35-Bolt

🏆 Strong agent results: The 24GB model reaches 50.98 on Terminal-Bench 2.1 and 66.75 on BrowseComp. NVIDIA positions it as the #1 open model in its class on PinchBench and #2 among open models on BrowseComp.
⚡ Built for local inference: Native 2-bit quantization fits the model into 24GB while retaining 9B active parameters per token.
👁️ Multimodal, long-context agents: Accepts text, images, and video with up to 256K shared context for prompts, tool results, and conversation history.
🧩 Choose the right variant: Use 24GB IQ2 for local inference, BF16 for post-training and custom quantization, or LiLiCorr variants for speculative decoding.
📜 OpenMDW License Agreement v1.1. Commercial and non-commercial use supported.

Source: ModelScope · x.comPublished · added here

Topics

NVIDIAAI agentsMultimodal AIOpen-source ecosystemModel releasesEvals & benchmarks