qwen3-4b-tz-convert-v2-n3000
One point on the data-efficiency curve of the tz-convert project: a QLoRA adapter on Qwen3-4B-Instruct-2507 trained on the first 3,000 examples of the v2 mix of debudash/tz-convert-sft. Same hyperparameters as every other checkpoint.
Table with columns: Spec-adherence, Robustness, Drift: conversations held, Training commit| Spec-adherence | Robustness | Drift: conversations held | Training commit |
|---|
| 40.0% | 42.7% | – | 460efb7519b69696c9b6484f40eb2b8dec405355 |
Base model with the full spec prompt: 12.0% / 23.3% / 0.0%. The best checkpoint and full card: debudash/qwen3-4b-tz-convert-v5-n18000. Code, eval sets and reports: https://huggingface.co/debudash/slm-training.