Document verified public runtime and checkpoint scope

README.md

@@ -14,6 +14,7 @@ language:
 - en
 inference: false
 pipeline_tag: image-segmentation
+base_model: VictorButoi/flexray
 ---
 
 # FleXray Radiograph Segmentation
@@ -32,15 +33,16 @@ MLX implementation by [MedMLX](https://github.com/MedMLX).
 
 ## Requirements
 
-Apple Silicon Mac with Metal GPU access, Python 3.12 and [uv](https://docs.astral.sh/uv/).
+Apple Silicon Mac with Metal GPU access, Python 3.13 or 3.14 and [uv](https://docs.astral.sh/uv/).
 The weights are included here; checkpoint conversion is not needed.
 
 ## Quick start
 
 ```bash
-uv venv --python 3.12
+uv venv --python 3.13
 source .venv/bin/activate
-uv pip install "flexray-mlx @ git+https://github.com/MedMLX/flexray-mlx.git" huggingface_hub
+uv pip install "flexray-mlx @ https://github.com/MedMLX/flexray-mlx/releases/download/v0.2.1/flexray_mlx-0.2.1-py3-none-any.whl"
+uv tool install huggingface-hub
 
 hf download MedMLX/flexray-mlx --local-dir models
 ```
@@ -78,7 +80,11 @@ Each run writes:
 
 ## Technical details
 
-Native result: **success**. Original-code comparison: **pass**, `minimum_per_label_dice` = `0.9999704176268988`.
+The companion runtime is [v0.2.1](https://github.com/MedMLX/flexray-mlx/releases/tag/v0.2.1), source `5a0ef5f36f40ef606819a48b5869d381386909a2`, with `medmlx-core==0.2.3`. All 206 flagship tensors exactly match the original publisher's pinned `6b63ddf09cfdff99aea494e3738cf243a4e22cdb` bundle used for that release. The ensemble descriptor, flagship configuration, label schema and preprocessing metadata are also byte-identical. The installed public bundle admission accepts this Hub layout with `ensemble=False`, without loading MLX. No weights or runtime assets were changed by this card update.
+
+The current fresh installed-wheel suite passed 122 tests with zero skips using independently recorded, seeded upstream numerical fixtures. Separate real released-weight API runs checked flagship execution and the complete external five-member ensemble with TTA; the latter does not imply the missing four members are included here. Those execution/output checks are separate from released-checkpoint cross-framework agreement and clinical accuracy. The following one-case reference comparison is historical and retains its original revision and settings.
+
+Historical native result: **success**. Original-code comparison: **pass**, `minimum_per_label_dice` = `0.9999704176268988`.
 
 Paper uses flux0375 only; the prepared bundle supports `ensemble=False`. The unchanged upstream ensemble descriptor lists all five members, but only the flagship member is packaged. Original comparison passes. Montgomery radiograph panels are excluded from submission/distribution pending image-sharing clearance.
 
@@ -116,8 +122,9 @@ clinical diagnosis or treatment decisions.
 ## License
 
 Weights: **CC-BY-NC-4.0** ([license](https://huggingface.co/MedMLX/flexray-mlx/blob/main/LICENSE)).
-Upstream code: **MIT**. MLX port code:
-[Apache-2.0](https://github.com/MedMLX/flexray-mlx/blob/main/LICENSE).
+Upstream FleXray code is **MIT**. Original MLX port contributions are
+[Apache-2.0](https://github.com/MedMLX/flexray-mlx/blob/main/LICENSE), with retained MIT and BSD notices for FleXray, PyTorch and TorchVision adaptations in
+[THIRD_PARTY_NOTICES.md](https://github.com/MedMLX/flexray-mlx/blob/main/THIRD_PARTY_NOTICES.md). These code terms do not replace the noncommercial weight license above.
 
 Retain the [attribution and notices](https://huggingface.co/MedMLX/flexray-mlx/blob/main/NOTICE) when redistributing
 the bundle or a conversion: