we just open sourced a tool train a specialized model at Fable quality and half the cost
it uses agent traces to continuously improve via
• distillation and RL
• model routing
• token compaction
Video
@silennai open sourced a training tool on 2026-07-26 that they claim produces…
Brief
The post by @silennai (2026-07-26) announces an open‑source tool that, according to the author, can train specialized models matching Fable‑level quality at roughly half the cost. It leverages agent trace data to iteratively improve models via distillation plus reinforcement learning, dynamic model routing, and token compaction, and includes a demonstration video.
Why it matters
@silennai open sourced a training tool on 2026-07-26 that they claim produces specialized models “at Fable quality and half the cost.”
Key details
- The system uses agent traces for continuous improvement and applies three concrete techniques: distillation combined with RL, model routing, and token compaction.
- A demonstration video accompanies the release (author notes a 'Video' reference in the post).