DeepSeek R1:8b
Language Models (LLM) MIT (Free)
About
A reasoning-focused large language model for scientific and technical tasks, offering chain-of-thought reasoning and step-by-step problem decomposition for general questions.
Citation
DeepSeek-AI, Guo, D., Yang, D., Zhang, H., et al. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. arXiv:2501.12948 (2025). DOI:10.48550/arXiv.2501.12948
Frequently Asked Questions
What is DeepSeek R1:8b?
DeepSeek R1:8b is a language models (llm) application available in the Paramus App Store. A reasoning-focused large language model for scientific and technical tasks, offering chain-of-thought reasoning and step-by-step problem decomposition for general questions.
Is DeepSeek R1:8b free to use?
Yes. DeepSeek R1:8b is distributed under the MIT (Free) license and is available at no cost through the Paramus App Store.
How do I install DeepSeek R1:8b?
DeepSeek R1:8b is installed through Paramus Chemistry OS, an on-premise Windows platform for computational chemistry. Open the Paramus App Store in your local installation and select DeepSeek R1:8b for one-click deployment.
What type of application is DeepSeek R1:8b?
DeepSeek R1:8b belongs to the “Language Models (LLM)” category in the Paramus App Store. It runs on Paramus Chemistry OS and can also be accessed through Paramus Cloud for supported workflows.
What platform does DeepSeek R1:8b run on?
DeepSeek R1:8b runs on Paramus Chemistry OS, a Windows-based on-premise platform that provides local compute power for demanding simulations. It requires a Paramus OS installation with appropriate hardware resources.
Can DeepSeek R1:8b be automated or integrated with AI workflows?
Yes. DeepSeek R1:8b is available as part of the Paramus ecosystem which supports MCP (Model Context Protocol) tools for AI-driven automation. This enables integration with large language models and automated research pipelines.
How should I cite DeepSeek R1:8b in publications?
The recommended citation for DeepSeek R1:8b is: DeepSeek-AI, Guo, D., Yang, D., Zhang, H., et al. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. arXiv:2501.12948 (2025). DOI:10.48550/arXiv.2501.12948