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Kimi K2 is a fast, trillion-parameter AI model excelling in coding, reasoning, and multi-step tool use.
Kimi K2 is a powerful, open-source AI model built by Moonshot AI. It uses a special design called Mixture‑of‑Experts (MoE), which means it can choose tiny expert pieces to solve each part of a problem. It has a trillion parameters in total and activates 32 billion of them when working—this makes it smart and fast.
Description: Kimi K2 is great at different tasks: coding, reasoning, tool‑using, and answering questions. It scored top results in many tests used in AI research, often beating other open models. It works well with APIs and tools, so it can do things like search the web, calculate math, or manage data—all on its own.
Features:
Large‑scale training: Trained on over 15 trillion words with no major training bugs.
Muon optimizer: Uses a powerful and stable technique to train at a huge size.
Agentic design: It’s built to pick and use tools automatically, not just chat.
Two versions: A Base version for fine‑tuning and an Instruct version for chat and tool use.
Use Cases:
Code generation & debugging: Writes and fixes code in many programming languages.
Multi‑step tasks: Can solve tasks that need several tools and reasoning.
Education: Helps students learn by explaining subjects or working with them step‑by‑step.
Research & apps: Works as a backbone for AI chatbots, agents, or smart assistants.
Tech Summary:
MoE model, 1 trillion parameters, 32B active
61 layers, 384 experts, 8 used per token
Trained with Muon optimizer on 15.5T tokens
Supports long contexts up to 128K tokens
Deployment & Access: You can use Kimi K2 via API (spaces like Hugging Face, Groq Cloud, or platform.moonshot.ai), or self‑host with tools like vLLM, SGLang, llama.cpp. It’s open‑source under a modified MIT license, so anyone can download, change, or use it for free.
