Update README.md

README.md

@@ -11,8 +11,8 @@ tags:
 # STIP tutorial checkpoints
 
 Small checkpoints used by the [`stip`](https://github.com/instadeepai/stip) tutorial
-notebooks, so that a tutorial can demonstrate sampling without spending ten
-minutes training first. They are toy models (a two-layer MLP, ~50k parameters,
+notebooks to demonstrate sampling methods and capapbilities of the repository. 
+They are toy models (a two-layer MLP, ~50k parameters,
 trained for 1500 steps on a 4-component 2D Gaussian mixture) and have no
 use outside the notebooks.
 
@@ -54,13 +54,3 @@ gen_model = nnx.merge(graphdef, checkpointer.restore_ema(params))
 
 `restore_ema` reads only `ema_params` and `extra`, and applies the same bias
 correction the training loop uses for evaluation.
-
-## Reproducing
-
-```bash
-uv run python tutorials/scripts/train_conditioning_checkpoints.py
-```
-
-The script mirrors the notebook's model definitions and PRNG chain, so it
-reproduces these exact weights. A checkpoint pins the parameter structure: if a
-notebook's network changes, re-run the script and re-upload.