Sakana AIRLT
RLT-7B
The RLT-7B student adapts Qwen2.5-7B-Instruct with supervised reasoning traces produced by a 7B teacher.
Research release
The student uses supervised fine-tuning
Reinforcement learning optimizes the teacher to produce useful explanations for students. The released student learns from those traces through supervised fine-tuning. Its name does not mean that the student itself underwent that reinforcement-learning stage.RLT-7B official model card
Working with this release
Practical guidance. Keep teacher and student sizes explicit when comparing training methods. Check final answers and intermediate reasoning independently.
Specifications & access
| Detail | Value and conditions |
|---|---|
| Status | Research release |
| Access | Downloadable |
| Model identifiers | SakanaAI/RLT-7B |
| Student ancestry | Qwen2.5-7B-InstructRLT-7B official model card |
| Teacher | A 7B reinforcement-learned teacher, including for the 32B student.RLT-7B official model card |
| Terms | Apache 2.0; the card describes research-only intent and discourages commercial or critical deployment.RLT-7B official model card |
Related models
A 32B reasoning student trained from a reinforcement-learned teacher.
Launch date not confirmedResearch releaseDownloadable