Read our How to Run DeepSeek V4 Guide! To run DeepSeek V4 correctly, ensure you use the latest version of llama.cpp or Unsloth Studio. We also improved the DeepSeek V4 chat jinja template, and tested over 4000 conversations to be equivalent with the official baseline. Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. To run DeepSeek V4 Flash in full precision lossless, run Q8 (UD Q8 K XL), which is 162GB and only 7GB bigger than Q4 (UD Q4 K XL). See our DeepSeek V4 guide for quantization analysis and instructions. You can now run DeepSeek V4 Flash in Unsloth Studio with toggles for High and Max thinking. DeepSeek V4: Towards Highly Efficient Million Token Context Intelligence Technical Report 👁️ Introduction 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: 1. Hybrid Attention Architecture: We design a hybrid attention mechanism co…
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