x.com/ModelScope2022… ModelScope @ModelScope2022 NVIDIA Nemotron 3.5 Super VL is open released in BF16 and NVFP4: a 120B MoE multimodal agent model that activates just 12B parameters per token. ModelScope’s ms-swift supports both inference and fine-tuning, helping developers put the model to work and adapt it to specialized multimodal applications. 🤖 modelscope.ai/collections/nv… 8 � github.com/modelscope/ms-… Ms 🏆 Agent performance: Outperforms the 5x larger Nemotron 3 Ultra on the reported Hermes Bench and LangChain evaluations. ⚡ Faster workflows: Delivers up to 5x higher throughput in its size class and completes evaluated agent tasks up to 4x faster. 👁️ Multimodal reasoning: Understands text, images, charts, documents, and video while reasoning, coding, and using tools. 🧰 Built to customize: Fine-tune with your own multimodal datasets using LoRA in ms-swift, or use NVIDIA NeMo for SFT and RL to adapt the model to domain data, tools, policies, and workflows. 🧠 Efficient deployment: NVFP4 with QAD, multi-token prediction, and cross-turn context reuse reduce repeated inference work. Supports vLLM, SGLang, TRT-LLM, and NIM across local, data center, and cloud environments. 🔗 View Quoted Tweet
媒体保存失败：[Errno 104] Connection reset by peer
媒体保存失败：timed out
媒体保存失败：[Errno 104] Connection reset by peer
媒体保存失败：[Errno 104] Connection reset by peer
媒体保存失败：[Errno 104] Connection reset by peer