DeepSeek Coder V2: An Open-Source Code Model Surpasses GPT-4-Turbo
The AI landscape is constantly evolving, with new models pushing the boundaries of what's possible. Recently, DeepSeek AI released DeepSeek Coder V2, an open-source code model that's making waves in the AI community. According to AIGC开放社区, this model has achieved code and math capabilities that rival and even surpass those of GPT-4-Turbo, setting a new standard for open-source AI in coding.
What is DeepSeek Coder V2?
DeepSeek Coder V2 is a cutting-edge AI model designed specifically for code generation and problem-solving. It builds upon the architecture of DeepSeek-V2 and boasts an impressive 236 billion parameters. What sets it apart is its ability to perform on par with or better than GPT-4-Turbo in coding and mathematical tasks while remaining accessible as an open-source solution.
Key Features and Capabilities
- Superior Code Generation: Excels in generating efficient and accurate code across various programming languages.
- Advanced Mathematical Reasoning: Demonstrates strong capabilities in solving complex mathematical problems.
- General Performance In addition to its specialist coding and mathematics ability, DeepSeek-Coder-V2 also demonstrates good general performance
- Open Source and Free for Commercial Use: The model, code, and research paper are all open-source, allowing for free commercial use without the need for application, promoting wider adoption and innovation.
- Multiple Parameter Sizes: Available in 236B (API version model) and 16B parameter sizes
Technical Specifications
- Parameters: The model comes in two sizes: a 236B parameter version and a smaller 16B parameter version, catering to different hardware capabilities.
- Deployment:
- The 236B model can be deployed on a single machine with 8x80G GPUs.
- The 16B "Lite" version can be deployed on a single 40G GPU.
- Fine-tuning: The 236B model can be fine-tuned on a single machine with 8x80G GPUs, opening avenues for customization and specialized applications.
- Context Window: DeepSeek-Coder-V2 API supports 32K context window.
DeepSeek-Coder-V2 vs DeepSeek-V2
DeepSeek-Coder-V2 obtains higher scores overall, but both models have different strengths during usage. DeepSeek-V2 is better for language tasks, whereas DeepSeek-Coder-V2 is better at mathematics and coding.
Using DeepSeek Coder V2
- API Access: The DeepSeek-Coder-V2 API supports a 32K context window and is priced competitively, similar to DeepSeek-V2.
- Local Deployment: DeepSeek offers local private deployment services, providing a ready-to-use solution with integrated inference, fine-tuning, and maintenance software.
Open Source Access
The Future is Open Source
The release of DeepSeek Coder V2 underscores the growing importance of open-source models in the AI field. By providing a powerful, freely accessible tool, DeepSeek AI contributes significantly to democratizing AI technology and fostering innovation across various sectors. As the AIGC开放社区 aptly puts it, this is a crucial step towards realizing the full potential of AI and paving the way for an AGI future.
