Hugging Face has released KAT-Coder-V2.5-Dev, an open-weight Mixture-of-Experts (MoE) model. This new model features 35 billion total parameters with 3 billion activated parameters, aiming to improve community communication and showcase research. It demonstrates state-of-the-art performance in agentic coding for its parameter scale and has undergone optimization to reduce abnormal behaviors, such as incorrect tool labeling. AI
IMPACT Provides a new open-weight model for coding tasks, potentially accelerating development and research in agentic AI.
RANK_REASON Model release from a prominent AI platform (Hugging Face) with detailed technical specifications and performance claims. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Read on Hugging Face Trending Models →
- Docker
- Google Colab
- Hugging Face
- Kaggle
- Kwaipilot/KAT-Coder-V2.5-Dev
- OpenAI
- SGLang
- transformers
- vLLM
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
