ModelScope(@ModelScope2022):DeepSeek-V4-Pro-DSpark lands on ModelScope~ Same DeepSeek-V4-Pro checkpoint, now with an added speculative decoding module for inference experiments. 🚀License: MIT 🤖 https://t.co/8MA1dMqGri 📄 https://t.co/b6OBoZBwZC 🏆 Pro-Max results: 93.5 on LiveCodeBench, 3206 Codeforces rating, 80.6 on SWE Verified, and 83.5 on MRCR 1M 📏 Long-context efficiency: at 1M context, DeepSeek-V4-Pro uses only 27% single-token inference FLOPs and 10% KV cache vs DeepSeek-V3.2 🧠 Architecture upgrades: hybrid CSA + HCA attention for 1M-token efficiency, mHC for stronger signal propagation, and Muon optimizer for faster, more stable training

ModelScope@ModelScope2022

2026.06.29 16:00

DeepSeek-V4-Pro-DSpark lands on ModelScope~ Same DeepSeek-V4-Pro checkpoint, now with an added speculative decoding module for inference experiments. 🚀License: MIT 🤖 📄 🏆 Pro-Max results: 93.5 on LiveCodeBench, 3206 Codeforces rating, 80.6 on SWE Verified, and 83.5 on MRCR 1M 📏 Long-context efficiency: at 1M context, DeepSeek-V4-Pro uses only 27% single-token inference FLOPs and 10% KV cache vs DeepSeek-V3.2 🧠 Architecture upgrades: hybrid CSA + HCA attention for 1M-token efficiency, mHC for stronger signal propagation, and Muon optimizer for faster, more stable training