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c13e1594de
unsloth
/
studio
/
backend
/
models
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Shine1i
0be3e6f525
feat: integrate gradient norm tracking in training runtime and metrics
...
- Enhanced chart logic to filter and visualize finite gradient norm values.
2026-02-17 18:26:59 +01:00
..
.gitkeep
fix: restore models directory files deleted during restructure
2026-02-02 19:36:30 +00:00
__init__.py
refactor: move checkpoint scanning to utils/models and /checkpoints endpoint to models router
2026-02-16 09:32:11 +00:00
auth.py
authentication refactor - added setup token and token refresh mechanism
2026-02-11 12:09:47 +00:00
datasets.py
feat: add eval split auto-detection, eval_steps hyperparam, and eval_loss chart integration
2026-02-16 13:38:54 +00:00
export.py
Adding metadata for checkpoints
2026-02-16 23:46:17 +00:00
inference.py
feat: support disabling top-k sampling with -1 and standardize normalization logic
2026-02-16 21:33:24 +01:00
models.py
Adding metadata for checkpoints
2026-02-16 23:46:17 +00:00
responses.py
feat: integrate gradient norm tracking in training runtime and metrics
2026-02-17 18:26:59 +01:00
training.py
feat: integrate gradient norm tracking in training runtime and metrics
2026-02-17 18:26:59 +01:00
users.py
move inline pydantic models - fix existing models routes integration
2026-02-11 12:39:58 +00:00