Kimi K2 - Moonshot AI releases a powerful open-source model
The Chinese AI startup Moonshot AI has released the powerful Large Language Model (LLM) Kimi K2 as open-source on GitHub. It shows similar performance on some benchmarks to leading closed-source models.
The details
- Kimi K2 is a mixture-of-experts model with 32 billion active parameters and a total of 1 trillion parameters. There are two model variants: Kimi-K2-Base and Kimi-K2-Instruct.
- Kimi-K2-Base is a foundation model. It is an ideal starting point for researchers and builders who want full control for fine-tuning. Kimi-K2-Instruct is a post-trained model suitable for general-purpose chat and agentic AI use cases.
- Kimi K2 achieves state-of-the-art performance in math, coding, and scientific tasks. In the benchmarks LiveCodeBench (53.7%) and OJBench (27.1%), the model even outperforms all competitors.
Our thoughts
Open-source Chinese models consistently demonstrate that they can keep up with the leading models from America. LLMs are now mass-produced, and there are suitable models for many tasks. In the future, the challenge will be to integrate LLMs into applications to make them as helpful as possible for users.
More information: 🔗 Moonshot AI blog | Moonshot AI GitHub
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