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🚨Только что были выпущены веса для новой ризонинг модели DeepSeek-R1.

Модель 685B разработана чтобы конкурировать с o1 от OpenAI и построена на архитектуре на DeepSeek V3.

Вы можете потестить ее на 8 * H200.

Размер примерно ~720GB.

UPDATE
: эти гигачады выпустили сразу 6 моделей от 1.5B до 70B 🔥

DeepSeek-R1-Distill-Qwen-1.5B превосходит GPT-4o и Claude-3.5-Sonnet в математике, набрав 28,9% у AIMEE и 83,9%, стоимость примерно в 30 раз дешевле, чем o1 и примерно в 5 раз дешевле o1 mini.

🤗HF: https://huggingface.co/deepseek-ai/DeepSeek-R1/tree/main
📌Потестить: https://chat.deepseek.com/sign_in
🖥 GitHub: https://github.com/deepseek-ai/DeepSeek-R1

@ai_machinelearning_big_data



#DeepSeek #deepseekv3 #reasoning #ml
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🚨Только что были выпущены веса для новой ризонинг модели DeepSeek-R1.

Модель 685B разработана чтобы конкурировать с o1 от OpenAI и построена на архитектуре на DeepSeek V3.

Вы можете потестить ее на 8 * H200.

Размер примерно ~720GB.

UPDATE
: эти гигачады выпустили сразу 6 моделей от 1.5B до 70B 🔥

DeepSeek-R1-Distill-Qwen-1.5B превосходит GPT-4o и Claude-3.5-Sonnet в математике, набрав 28,9% у AIMEE и 83,9%, стоимость примерно в 30 раз дешевле, чем o1 и примерно в 5 раз дешевле o1 mini.

🤗HF: https://huggingface.co/deepseek-ai/DeepSeek-R1/tree/main
📌Потестить: https://chat.deepseek.com/sign_in
🖥 GitHub: https://github.com/deepseek-ai/DeepSeek-R1

@ai_machinelearning_big_data



#DeepSeek #deepseekv3 #reasoning #ml

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