NVIDIA 发布 Nemotron 3.5 Super VL 与 Bolt 74B-A9B 24GB
Nvidia’s Nemotron 3.5 Super VL is now the leading US open weight model, scoring 26 on the Artificial Analysis Intelligence Index
NVIDIA 发布 Nemotron 3.5 Super VL 与 Nemotron 3.5 Bolt 74B-A9B 24GB 两款开源权重模型，前者在 Artificial Analysis Intelligence Index 上得分 26.5，成为该机构评测中领先的美国开源权重模型，超过 Thinking Machines 的 Inkling Small（25.7）、NVIDIA 自家 Nemotron 3 Ultra（23）和 Meta 的 Muse Glimmer（17）。Super VL 的智能水平约为前代 Nemotron 3 Super（13）的两倍，且每任务输出 token 减少约 60%，采用 NVFP4 发布，得分与 BF16 权重相差 0.1 分以内。Bolt 是该系列首款模型，得分 21，参数为 74B/9B，上下文窗口 256k；Super VL 参数为 120B/12B，上下文窗口 1M，两者均支持视觉与文本输入、文本输出。
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Nvidia’s Nemotron 3.5 Super VL is now the leading US open weight model, scoring 26 on the Artificial Analysis Intelligence Index
Nemotron 3.5 Super VL achieves twice the intelligence of its predecessor, Nemotron 3 Super (13), and does so using ~60% fewer output tokens per task
It launches alongside Nemotron 3.5 Bolt 74B-A9B 24GB, the first model in its new Bolt family, which scores 21 on the Intelligence Index
Congratulations to @NVIDIAAI on the releases!
Key Takeaways:
➤ Leading US open weight model: Nemotron 3.5 Super VL scores 26.5, edging out Thinking Machines' Inkling Small (25.7) and ahead of NVIDIA's Nemotron 3 Ultra (23) and Meta's Muse Glimmer (17)
➤ Bolt comes within 2 points of Ultra: Nemotron 3.5 Bolt 74B-A9B 24GB scores 21, 1.5 points behind Nemotron 3 Ultra 550B A55B (23). The 2 bit memory has about a seventh of Ultra's parameters (74B vs 550B) and a sixth of its active parameters (9B vs 55B)
➤ Super 3.5 VL near lossless in NVFP4: Nemotron 3.5 Super VL releases in NVFP4, scoring within 0.1 points of its BF16 weights on the Intelligence Index, with no component moving by more than 2.6 points
Nemotron 3.5 Super VL details
Context window: 1M tokens Modalities: Vision and text input; text output Parameters: 120B / 12B
Nemotron 3.5 Bolt 74B-A9B 24GB details
Context window: 256k tokens Modalities: Vision and text input; text output Parameters: 74B / 9B