Kimi K2

Overview

Kimi K2 is a state-of-the-art large language model series developed by Moonshot AI, featuring an innovative mixture-of-experts (MoE) architecture with 1 trillion total parameters and 32 billion activated parameters. Designed specifically for tool use, reasoning, and autonomous problem-solving, Kimi K2 represents a significant advancement in LLM capabilities.

Key Features

Advanced Architecture

• Mixture-of-Experts (MoE): 384 experts with 8 selected per token for optimal efficiency
• Massive Scale: 1 trillion total parameters with 32 billion activated parameters
• Extended Context: 128K token context length for handling long documents
• Large Vocabulary: 160K vocabulary size for better multilingual support

Model Variants

• Kimi-K2-Base: Foundation model for researchers and custom solutions
• Kimi-K2-Instruct: Optimized for general-purpose chat and agentic experiences

Core Capabilities

• Advanced Reasoning: Superior performance on complex reasoning tasks
• Code Generation: Excellent coding capabilities across multiple languages
• Tool Integration: Native support for tool use and function calling
• Autonomous Problem-Solving: Designed for agentic workflows and complex tasks

Technical Innovation

• Muon Optimizer: Trained using the advanced Muon optimization algorithm
• Efficient Inference: Optimized for various inference engines and deployment scenarios
• API Compatibility: OpenAI and Anthropic-compatible API endpoints

Use Cases

• AI Research: Foundation model for academic and commercial research
• Autonomous Agents: Building AI agents that can use tools and solve complex problems
• Code Generation: Advanced programming assistance and code completion
• Complex Reasoning: Tasks requiring multi-step reasoning and problem-solving
• Enterprise Applications: Custom AI solutions for business workflows
• Educational Tools: AI tutoring and educational assistance

Technical Specifications

• Total Parameters: 1 trillion
• Activated Parameters: 32 billion
• Context Length: 128K tokens
• Vocabulary Size: 160K
• Number of Experts: 384
• Experts per Token: 8
• License: Modified MIT License

Deployment Options

Self-Hosted

• vLLM: Recommended for high-throughput serving
• SGLang: Optimized for structured generation
• KTransformers: Efficient inference engine
• TensorRT-LLM: NVIDIA GPU acceleration

Cloud API

• Moonshot AI Platform: Hosted API service at platform.moonshot.ai
• OpenAI-Compatible: Drop-in replacement for OpenAI API calls
• Enterprise Support: Custom deployment and support options

Getting Started

1. For Researchers: Download model weights from the GitHub repository
2. For Developers: Access the API through Moonshot AI platform
3. For Deployment: Choose your preferred inference engine (vLLM, SGLang, etc.)
4. Integration: Use OpenAI-compatible endpoints for easy integration

Kimi K2 represents a significant leap forward in open-source LLM technology, combining massive scale with innovative architecture to deliver exceptional performance across knowledge, reasoning, and coding tasks.