Have you heard of DeepSeek Coder V2?
AI Summary
- Summary of Deep Seek Coder V2
- Overview
- Underrated LLM for coding.
- Originates from China.
- Open license and effective for coding tasks.
- Performance
- Outperforms GPT-4 Turbo in some benchmarks.
- Scores well on independent benchmarks like AER.
- Ranks second on AER’s LLM leaderboard.
- Excels in code refactoring and LMS arena benchmarks.
- Model Details
- Created by Deep Seek AI, possibly linked to Alibaba Group.
- Mixture of experts model.
- Comes in four flavors: light, light base, instruct, and full model.
- Full model has 236 billion parameters with 21 billion active per token.
- Notable for its large context window of 128,000 tokens.
- Strengths
- High benchmark scores in various coding tasks.
- Effective context window for coding-related tasks.
- Utilizes high-quality training tokens.
- Limitations
- Less effective in the BenchOut of Box benchmark.
- Usage and Cost
- Offers a cheap API endpoint.
- Can be run locally or on cod.deepseek.com.
- Practical Application
- Demonstrates ability to generate and improve code.
- Can create a simple web application and enhance it upon request.
- Supports running HTML and creating Gradio applications.
- Conclusion
- Deep Seat Coder V2 is a powerful, open-license coding model.
- The model’s lack of discussion in the community is questioned.
- Encouraged to try out the model and provide feedback.
For more detailed exploration and testing of the model, further engagement with the platform and community discussions is suggested.