Description
KAT-Coder-V2.5-Dev is a sophisticated large language model developed to excel in coding tasks. It is an open-weight version of the KAT-Coder-V2.5, featuring a mixture of experts (MOE) architecture with 35 billion parameters and 3 billion activated parameters. The model is designed to enhance communication with the community and showcase research achievements.
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The model achieves state-of-the-art results in agentic coding through supervised fine-tuning (SFT) and reinforcement learning (RL) training. It significantly optimizes abnormal behaviors, such as reducing abnormal tool labels and single-turn continuous repetition. KAT-Coder-V2.5-Dev is benchmarked against other models, demonstrating superior performance in various coding agent tasks.
KAT-Coder-V2.5-Dev is compatible with popular inference frameworks like Hugging Face Transformers, vLLM, SGLang, and KTransformers. It supports a maximum context length of 262,144 tokens, making it suitable for processing ultra-long texts. The model is available for integration via APIs, allowing developers to leverage its capabilities in diverse applications.
The training pipeline involves two stages: supervised fine-tuning and reinforcement learning. The model uses techniques like Token-in-Token-out (TITO) consistency and Truncated Importance Sampling (TIS) to ensure stable and effective training. Hierarchical rewards based on execution feedback further enhance the model's learning process.
KAT-Coder-V2.5-Dev is particularly beneficial for agent scenarios, where maintaining full reasoning context can enhance decision consistency and reduce token consumption. It is designed to handle complex coding tasks efficiently, making it a valuable tool for developers and researchers in the field of artificial intelligence.
- CategoryAI Models & LLMs
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
KAT-Coder-V2.5-Dev Highlights
35 billion parameters
3 billion activated parameters
Open-weight model
State-of-the-art performance
Reinforcement learning optimization
Compatible with Hugging Face Transformers
Supports ultra-long texts
API integration available
Getting Started with KAT-Coder-V2.5-Dev
Access model page: Visit the Hugging Face repository for KAT-Coder-V2.5-Dev
Authenticate: Ensure you have the necessary credentials for API access
Configure: Set up the model parameters and environment
Send prompts: Use the API to interact with the model
Fine-tune: Adjust the model for specific tasks using available tools
KAT-Coder-V2.5-Dev's Use Cases
- Advanced Coding
- Agentic Coding
- Reinforcement Learning
- API Integration
- Ultra-Long Text Processing
