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NVIDIA AI
@NVIDIAAI
Teaching your AI new tricks.
加入 June 2016
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Congrats to StepFun on Step 5 Preview 🙌 Their largest open weights release. The 600B MoE model is built to handle agent tasks lasting up to 24 hours. The model runs at nearly 8K tokens/sec/GPU on NVIDIA GB300 using NVFP4. NVP4 checkpoint: Deploy with @SGL_project -  or @vLLM_project - Post-train with NeMo Automodel: Run it with NVIDIA NIM using a single command:
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Step 5 Preview is now open weights. BF16 and FP8 weights are live on Hugging Face and ModelScope, together with our technical blog. • Sparse MoE: 600B total, 27B active per token • 1M-token context window • Native text and vision input • Built for long-horizon agentic work: coding, software engineering, professional knowledge work and finance Frontier intelligence, open weights. Build what's next. Hugging Face: ModelScope: GitHub:
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