AI is happening. The future is updating.DeepSeek-V4-Flash-DSpark
**Note: DeepSeek-V4-Flash-DSpark** is **not** a new model. It is the same checkpoint with an additional speculative decoding module attached. A minimal inference example is available in the `inference` folder. For more details, refer to: https://github.com/deepseek-ai/DeepSpec We present a preview version of **DeepSeek-V4** series, including two strong Mixture-of-Experts (MoE) language models — **DeepSeek-V4-Pro** with 1.6T parameters (49B activated) and **DeepSeek-V4-Flash** with 284B parameters (13B activated) — both supporting a context length of **one million tokens**. DeepSeek-V4 series incorporate several key upgrades in architecture and optimization:
**Note: DeepSeek-V4-Flash-DSpark** is **not** a new model. It is the same checkpoint with an additional speculative decoding module attached. A minimal inference example is available in the `inference` folder. For more details, refer to: https://github.com/deepseek-ai/DeepSpec We present a preview version of **DeepSeek-V4** series, including two strong Mixture-of-Experts (MoE) language models — **DeepSeek-V4-Pro** with 1.6T parameters (49B activated) and **DeepSeek-V4-Flash** with 284B parameters (13B activated) — both supporting a context length of **one million tokens**. DeepSeek-V4 series incorporate several key upgrades in architecture and optimization: