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DeepSeek unveils V4 models with 1M token context and MoE architecture · 3 sources tracked

By PulseAugur Editorial · [3 sources] ·

DeepSeek has released preview versions of its DeepSeek-V4 series, featuring two Mixture-of-Experts (MoE) language models: DeepSeek-V4-Pro and DeepSeek-V4-Flash. Both models support an impressive one million token context length and incorporate architectural upgrades like a hybrid attention mechanism for improved efficiency and Manifold-Constrained Hyper-Connections (mHC) for enhanced stability. These models are available for use with various libraries and inference providers, including Transformers, vLLM, and SGLang, with instructions provided for integration. AI

IMPACT These models push the boundaries of context length and efficiency, potentially enabling more complex applications and research in long-context AI.

RANK_REASON Frontier-lab model release with system card and technical details.

Read on Hugging Face Trending Models →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

DeepSeek unveils V4 models with 1M token context and MoE architecture · 3 sources tracked

COVERAGE [3]

  1. Hugging Face Trending Models TIER_1 Nederlands(NL) · deepseek-ai ·

    deepseek-ai/DeepSeek-V4-Pro-DSpark

    text-generation · 0 downloads · 70 likes

  2. Hugging Face Trending Models TIER_1 Nederlands(NL) · deepseek-ai ·

    deepseek-ai/DeepSeek-V4-Flash-DSpark

    text-generation · 0 downloads · 49 likes

  3. r/LocalLLaMA TIER_1 Nederlands(NL) · /u/External_Mood4719 ·

    deepseek-ai/DeepSeek-V4-Pro-DSpark Huggingface

    <!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-DSpark">https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-DSpark</a></p> <p><a href="https://github.com/deepseek-ai/DeepSpec/blob/main/DSpark_paper.pdf">https://github.com/deepseek-ai/D…

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