DeepSeek MODEL1 Architecture: Memory‑Efficient LLMs

DeepSeek MODEL1 is a new large‑language‑model architecture that reduces GPU memory usage by 30 % and speeds up inference. It uses a new KV cache layout, sparsity handling, and FP8 decoding.

DeepSeek MODEL1 Architecture: Memory‑Efficient LLMs2026-01-21T06:35:32+00:00

DeepSeek V4 Architecture: Hyper‑Connections Explained

DeepSeek V4 architecture introduces manifold‑constrained hyper‑connections, a new way to keep long‑range context in transformer models. This design makes the model lighter, faster, and more accurate for code generation and multi‑step reasoning.

DeepSeek V4 Architecture: Hyper‑Connections Explained2026-01-19T06:34:02+00:00
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