What is DeepSeek V3.1？
DeepSeek V3.1 is the latest AI model version released by DeepSeek. Building on V3, this version features multiple upgrades, including an expanded context window from 64K to 128K, allowing it to handle longer text inputs. The model uses a Mixture of Experts (MoE) architecture and has the same number of parameters as V3. The Base version of DeepSeek V3.1 has been open-sourced on Hugging Face for developers to download and study. The model shows significant improvements in programming, understanding physical laws, creative writing, and mathematical abilities, with a livelier, more conversational tone when answering questions.
Key Features of DeepSeek V3.1
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Natural Language Processing: Generates high-quality text, including creative writing and storytelling, with a livelier tone and richer information when answering questions.
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Programming Capability: Can generate more complex and complete code.
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Mathematical and Logical Ability: Provides correct answers for basic arithmetic, simulates physics more accurately according to real-world laws, and supports more adjustable parameters.
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Multi-domain Knowledge: Answers niche historical questions more accurately and with more detail, and offers in-depth responses in science and technology fields.
Project Links for DeepSeek V3.1
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Hugging Face Model Hub: https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Base
How to Use DeepSeek V3.1
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Visit Hugging Face: Go to the DeepSeek-V3.1-Base model page on Hugging Face: https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Base
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Download the Model: Obtain the model weights, configuration files, and scripts.
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Local Deployment: Install necessary dependencies locally (e.g., Python, Transformers library), load the model, and perform inference.
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API Integration: Use Hugging Face’s API to integrate DeepSeek V3.1 into your applications or services for automated processing and interaction.
Application Scenarios for DeepSeek V3.1
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Content Creation: Generate articles, stories, poems, and other creative text, assisting creators in inspiration and improving efficiency.
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Programming Assistance: Help developers quickly generate code frameworks, optimize code logic, and boost programming efficiency, suitable for front-end and small game development.
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Education: Serve as a teaching aid, providing answers and explanations for complex science and history questions.
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Scientific Research: Assist researchers in organizing and analyzing data, offering answers and analytical ideas for scientific problems.
