🔬TerminalHorizon-27B: 1.5K Synthetic Tasks for Terminal Agents
TL;DR
TerminalHorizon is a data engine that generated 1.5K long-horizon terminal task environments. Fine-tuning Qwen3.5-27B on it improved all 12 benchmarks tested.
TerminalHorizon is a data engine that generated 1.5K long-horizon terminal task environments. Fine-tuning Qwen3.5-27B on it improved all 12 benchmarks tested.
Key Points
Automated synthesis engine for long-horizon terminal agents
Base model: Qwen3.5-27B, fine-tuned into TerminalHorizon-27B
Gains reported on all 12 benchmarks across coding, production agentic and reasoning tasks
Case studies ran 12-hour research budgets, with the agent improving past its first solution
Abstract gives no exact scores; check the full paper for deltas
Why It Matters
A 27B open model trained on synthetic environments is the cheap route to better terminal agents. Verify the numbers before copying the recipe.
Quick Facts
Comments
Be the first to comment
Enjoyed this article?
Get it daily. 7am. Free. Reads in 5 minutes.
Join 3,568 builders reading daily.