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Reasoning Model (deepseek-reasoner) | DeepSeek API Docs Our API provides users with access to the CoT content generated by deepseek-reasoner, enabling them to view, display, and distill it When using deepseek-reasoner, please upgrade the OpenAI SDK first to support the new parameters
The Complete Guide to DeepSeek Models: From V3 to R1 and Beyond Despite their smaller size, these models perform remarkably well on reasoning tasks, proving that large-scale AI reasoning can be efficiently distilled DeepSeek has open-sourced all six distilled models, ranging from 1 5B to 70B parameters
DeepSeek - OpenRouter May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens It's 671B parameters in size, with 37B active in an inference pass Fully open-source model
What is the context length for DeepSeek-R1 - Microsoft Q A Yes, the maximum output tokens for the DeepSeek-R1 model in Azure AI Foundry is 32,768 tokens, as specified in the "Model Catalog" for this model This limit ensures that the model can generate extensive and detailed responses while maintaining performance and reliability
DeepSeek R1 API documentation - segmind. com Explore DeepSeek-R1, an advanced open-source AI reasoning model with 671B parameters Features reinforcement learning, multiple variations, and state-of-the-art performance in math and coding tasks
DeepSeek-R1 - by Simeon Emanuilov - UnfoldAI magazine The model contains 671B total parameters, but activates only 37B for each forward pass, making it more efficient than dense models of comparable size This architectural choice proves important for handling the computational demands of extended reasoning chains
DeepSeek R1: open source reasoning model | LM Studio Blog DeepSeek R1 models, both distilled* and full size, are available for running locally in LM Studio on Mac, Windows, and Linux * read below about distilled models and how they're made
DeepSeek AI to Release Open Source DeepSeek-R1 Model With 685 Billion . . . The DeepSeek-R1 model, which is now open source, is described as a large reasoning model with 685 billion parameters, utilizing the same base model as DeepSeek v3 It is anticipated to be one of the largest reasoning models currently available
What is the context window size of DeepSeeks models? DeepSeek’s models support varying context window sizes depending on the specific architecture and version The base versions typically handle input sequences of 4,096 tokens, which is a common standard for many transformer-based models