deepseek

Core technical indicators

• Architecture Innovation
  • DeepSeeker V2 adopts a 16 expert hybrid architecture (16.4B activation parameters)
  • Reduce inference costs by 80% under the same effect
• Context Window
  • This machine supports 128K long text processing (equivalent to 100 pages of technical documents)
• Multimodal Expansion
  • Joint analysis of text/code/mathematical formulas/flowcharts supporting four modalities

Core functions

• Domain expert level capability
  • Mathematical modeling: covering K12 to PhD levels (with a mathematical benchmark accuracy of 82.3%)
  • Industrial programming: Supports 170+languages, code generation through LeetCode Hard level
  • Logical reasoning: Over 95% of human performance in LSAT exam simulation
• Performance Benchmark
  • AlignBench: China scores 87.4 (surpassing GPT-4 Turbo’s 85.2)
  • MT Bench: Total score 9.12 (equivalent to LLaMA3-70B)

Enterprise level services

• API Economy
  • Cost: $0.14 per 1 million tokens (1/7 of GPT-4 Turbo)
• Private deployment
  • Support local GPU cluster deployment (at least 24GB graphics memory)
• Industry Solutions
  • Financial compliance inspection
  • Biomedical literature mining
  • Intelligent manufacturing process optimization

Typical application scenarios

• Developer
  • Build an intelligent programming assistant through API (supporting VSCode/JetBrains plugins)
• Educational Institutions
  • Automatically generate personalized math exercises and solutions
• Financial Enterprises
  • Real time contract terms analysis (supports PDF/scanned documents)
• Research Team
  • Accelerated paper analysis (supporting arXiv/PubMed million level corpus)

Core advantages

• Open source
  • Model weights are open sourced on GitHub (commercial license required)
• Flexible Deployment
  • From Consumer GPU (RTX 4090) to Gigabit Cluster Adaptation
• Chinese optimization
  • C-Eval’s Chinese evaluation accuracy is 86.5% (industry first)