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    DeepSeek LLM

    DeepSeek LLM

    DeepSeek LLM: Let there be answers

    ...The model is trained from scratch, reportedly on a vast multilingual + code + reasoning dataset, and competes with other open or open-weight models. The architecture mirrors established decoder-only transformer families: pre-norm structure, rotational embeddings (RoPE), grouped query attention (GQA), and mixing in languages and tasks. It supports both “Base” (foundation model) and “Chat” (instruction / conversation tuned) variants.
    Downloads: 3 This Week
    Last Update:
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