KAT-Dev-32B is an open-source 32B-parameter model for software engineering tasks. It is optimized via several stages of training, including a mid-training stage, supervised fine-tuning (SFT) & reinforcement fine-tuning (RFT) stage and an large-scale agentic reinforcement learning (RL) stage.
Usage guide
Deploy KAT Dev 32B in just a few commands.
On-demand deployments ensure you get dedicated GPUs for optimal performance, no rate limits, and fast autoscaling. Fireworks makes it easy to get started in just minutes.
Dedicated deployments are great for high utilization use cases – unlocking both cost-effective scale and better performance.