DeepSeek-Coder-V2.5 is DeepSeek's most powerful open-source code model released in November 2024, featuring 236B parameters. Supporting 338 programming languages, it achieves industry-leading performance in code generation, completion, bug fixing, and code explanation, making it the most capable open-source code model available.
Core Features
- Superior Code Capability: HumanEval 90.2%, MBPP 80.4%
- 338 Languages: Supports nearly all mainstream and niche programming languages
- Ultra-long Context: 128K tokens context window
- Fully Open Source: 236B parameters completely open
- Multi-task Proficiency: Generation, completion, fixing, refactoring, explanation
- Fill-in-Middle: FIM support for code completion
Performance Benchmarks
- HumanEval: 90.2%
- MBPP: 80.4%
- LiveCodeBench: Highest among open-source models
- MultiPL-E: Leading in multilingual code generation
Model Versions
- Base (236B): 128K context, MoE architecture with 21B active params
- Instruct: Optimized for instructions
- Chat: Multi-turn conversation support
- FIM: Specialized for code filling
Use Cases
- Code generation from requirements
- Intelligent IDE code completion
- Automatic bug discovery and fixing
- Code refactoring and optimization
- Detailed code documentation
- Automated unit test generation
- Cross-language code translation
Deployment
- API: DeepSeek API, Together AI, Fireworks AI
- Local Full: 8x A100 80GB
- Quantized (INT4): 2x A100 80GB
- IDE Integration: VS Code, JetBrains, Vim/Emacs
License
- MIT License: Fully open source
- Commercial Use: Unrestricted
- Model Weights: Open for download
Summary
DeepSeek-Coder-V2.5 is the most powerful open-source code model, combining 236B parameters with MoE architecture for exceptional code generation and understanding. Supporting 338 languages and 128K context makes it ideal for professional developers, enterprises, and researchers, setting a new benchmark in code AI.
Comments
No comments yet. Be the first to comment!
Related Tools
Qwen2.5-Coder-32B
qwenlm.github.io/blog/qwen2.5-coder-family
Alibaba's code-specialized model trained on 5.5T tokens supporting 92 programming languages, achieving 85% on HumanEval and matching GPT-4o on code repair tasks.
BGE-M3
huggingface.co/BAAI/bge-m3
Top open-source multilingual embedding model by BAAI, supporting 100+ languages, 8192 token input length, with unified dense, multi-vector, and sparse retrieval capabilities.
mixedbread ai mxbai-rerank-large-v1
www.mixedbread.ai
Open-source high-performance reranking model supporting 90+ languages, outperforms Cohere rerank-v3 on BEIR benchmarks, with ONNX optimization.
Related Insights
Anthropic Subagent: The Multi-Agent Architecture Revolution
Deep dive into Anthropic multi-agent architecture design. Learn how Subagents break through context window limitations, achieve 90% performance improvements, and real-world applications in Claude Code.
Complete Guide to Claude Skills - 10 Essential Skills Explained
Deep dive into Claude Skills extension mechanism, detailed introduction to ten core skills and Obsidian integration to help you build an efficient AI workflow
Skills + Hooks + Plugins: How Anthropic Redefined AI Coding Tool Extensibility
An in-depth analysis of Claude Code's trinity architecture of Skills, Hooks, and Plugins. Explore why this design is more advanced than GitHub Copilot and Cursor, and how it redefines AI coding tool extensibility through open standards.