alucent/mirror-LiteCoder-Terminal-SFT

LiteCoder-SFT-Terminal Paper | Code | Blog Post LiteCoder-SFT-Terminal is a dataset of 11,255 agent trajectories in terminal environments, introduced in the paper LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents. Fine-tuned on this data, the LiteCoder-Terminal-30b-a3b-sft model achieves 31.5% Pass@1 on Terminal Bench Pro, while the LiteCoder-Terminal-4b-sft model shows distinct gains over its baseline. Released Artifacts… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-LiteCoder-Terminal-SFT.