Hugging Face Overview
Kimi-K2-Instruct: An Agentic MoE Language Model
Kimi-K2-Instruct is a powerful 1 trillion parameter Mixture-of-Experts (MoE) language model from Moonshot AI, utilizing 32 billion activated parameters. Pre-trained on 15.5 trillion tokens with the novel Muon optimizer, this model is specifically engineered for advanced agentic capabilities, including sophisticated tool use, complex reasoning, and autonomous problem-solving.
Key Capabilities
- Agentic Intelligence: Designed for robust tool use and autonomous problem-solving workflows.
- Large-Scale MoE Architecture: Features 1 trillion total parameters with 32 billion activated, enabling high performance while managing computational efficiency.
- Optimized Training: Leverages the MuonClip Optimizer to ensure stability and performance during large-scale pre-training.
- Strong Performance: Achieves competitive results across various benchmarks, particularly in coding tasks (e.g., 53.7% on LiveCodeBench v6, 65.8% on SWE-bench Verified Agentic Coding) and tool use (e.g., 70.6% on Tau2 retail).
- Extensive Context Window: Supports a 128K token context length, facilitating complex and long-form interactions.
Good For
- Agentic Applications: Ideal for scenarios requiring advanced tool integration and autonomous decision-making.
- Coding and Development: Excels in code generation and problem-solving, outperforming many models on coding benchmarks.
- General-Purpose Chat: Provides a robust foundation for instruction-following and conversational AI experiences.
- Complex Reasoning Tasks: Demonstrates strong capabilities in mathematical and logical reasoning challenges.