Training JEV networks from Qwen This repo is under construction. This is for the upcoming Neural Breakdown video on training JEV networks from existing autoregressive LMs. The cool part of this approach is that we are making the architecture be choice-order invariant, while still passing multiple options in the same sequence. Start here: If you want to understand how this repo works, open first.
| Stars | 60 |
| Forks | 11 |
| Language | Python |
| Category | AI Tool |
| Quality Score | 42.2216884733425/100 |
| Last Updated | 2026-10-04 |
| Created | 2026-09-27 |
| Platforms | python |
| Est. Tokens | ~13k |
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bev-train is Training Jev-like decision models using Qwen3 with choice-order invariance. It is categorized as a AI Tool with 60 GitHub stars.
bev-train is primarily written in Python.
You can find installation instructions and usage details in the bev-train GitHub repository at github.com/avbiswas/bev-train. The project has 60 stars and 11 forks, indicating an active community.