Kimi K2
kimik2.com
Advanced AI model with agentic capabilities for autonomous problem-solving and coding tasks.
Описание
Kimi K2 is a groundbreaking mixture-of-experts language model developed by MoonshotAI, featuring 32 billion activated parameters and 1 trillion total parameters. Designed for exceptional performance in frontier knowledge, reasoning, and coding tasks, Kimi K2 is optimized for agentic capabilities, enabling it to act and solve problems autonomously. The platform offers multimodal interaction support, intelligent reasoning, and creation tools, making it ideal for researchers, developers, and AI enthusiasts seeking advanced AI solutions.
Установка
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Возможности
💡 Agentic Capabilities
Kimi K2 is specifically designed for tool use, reasoning, and autonomous problem-solving, allowing interaction with external tools and performance of complex tasks. The model's architecture enables it to act independentl
⚡ Mixture-of-Experts Architecture
Utilizing a mixture-of-experts approach with 384 experts, Kimi K2 ensures efficient and scalable training. Pre-trained on 15.5 trillion tokens with zero training instability, it delivers robust and reliable performance a
🔧 Open-Source Availability
Both base and instruct versions of Kimi K2 are available for community use and development. This openness allows developers to fine-tune the model, integrate it into applications, and contribute to its ongoing improvemen
Сценарии использования
Research assistance with deep understanding
Coding automation for complex tasks
Data analysis with vast knowledge base
Workflow automation using agentic tools
Multilingual benchmark performance testing
Частые вопросы
Kimi-K2-Base is for fine-tuning, while Kimi-K2-Instruct is ready for general chat and agentic tasks.
Through our API or by downloading the models from Hugging Face.
High RAM capacity and compatible inference engines are recommended.
The open-source models are free, but API usage may incur costs.
It often leads in benchmarks for knowledge, reasoning, and coding tasks.
Yes, both the open-source models and API are available for commercial use.
Kimi K2 supports a context length of 128K tokens.
Yes, it performs well in multilingual benchmarks like SWE-bench Multilingual.
It was pre-trained on 15.5 trillion tokens using the Muon optimizer.
Yes, contact [[email protected]](https://kimik2.com/cdn-cgi/l/email-protection) for assistance.
Характеристики
| Тип | Инструмент |
| Категория | AI Assistant |
| Цена | есть бесплатный тариф |
| Платформа | Только веб |
| Системы | web |
| Хостинг | cloud |
| Установка | saas |
| Язык сайта | en |