DeepSeek AI has released a preview of its DeepSeek-V4 series, featuring two Mixture-of-Experts (MoE) models: DeepSeek-V4-Pro and DeepSeek-V4-Flash. These models support an impressive one million token context length and incorporate architectural enhancements like a hybrid attention mechanism (CSA and HCA) for improved efficiency. The models also utilize Manifold-Constrained Hyper-Connections (mHC) for stability and the Muon optimizer for faster training. AI
IMPACT Sets a new benchmark for long-context LLMs, potentially driving competition in efficient context handling.
RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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- DeepSeek AI
- deepseek-ai/DeepSeek-V4-Pro-DSpark
- DeepSeek-V3.2
- DeepSeek V4
- DeepSeek-V4-Flash
- DeepSeek-V4-Pro
- Docker Model Runner
- Google Colab
- Kaggle
- SGLang
- transformers
- vLLM
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