Update README.md

README.md

@@ -2,6 +2,16 @@
 
 AbBFN2 allows for flexible task adaptation by virtue of its ability to condition the generative process on an arbitrary subset of variables. Further, since AbBFN2 is based on the Bayesian Flow Network paradigm, it can jointly model both discrete and continuous variables. Using this architecture, we provide a rich syntax which can be used to interact with the model. Regardless of conditioning information, the model generates all 45 "data modes" at inference time and arbitrary conditioning can be used to define specific tasks.
 
+## License Summary
+
+1. The Licensed Models are **only** available under this License for Non-Commercial Purposes.
+2. You are permitted to reproduce, publish, share and adapt the Output generated by the Licensed Model only for Non-Commercial Purposes and in accordance with this License.
+3. You may **not** use the Licensed Models or any of its Outputs in connection with:
+    1. any Commercial Purposes, unless agreed by Us under a separate licence;
+    2. to train, improve or otherwise influence the functionality or performance of any other third-party derivative model that is commercial or intended for a Commercial Purpose and is similar to the Licensed Models;
+    3. to create models distilled or derived from the Outputs of the Licensed Models, unless such models are for Non-Commercial Purposes and open-sourced under the same license as the Licensed Models; or
+    4. in violation of any applicable laws and regulations.
+
 ## Getting Started
 
 You can interact with AbBFN2 via:
@@ -206,17 +216,6 @@ Possible values provided in [src/abbfn2/data_mode_handler/oas_paired/constants.p
 | `l_j_identity`  | float  | Light-chain J segment identity    | 77.0 – 100.0  |
 
 
-## License Summary
-
-1. The Licensed Models are **only** available under this License for Non-Commercial Purposes.
-2. You are permitted to reproduce, publish, share and adapt the Output generated by the Licensed Model only for Non-Commercial Purposes and in accordance with this License.
-3. You may **not** use the Licensed Models or any of its Outputs in connection with:
-    1. any Commercial Purposes, unless agreed by Us under a separate licence;
-    2. to train, improve or otherwise influence the functionality or performance of any other third-party derivative model that is commercial or intended for a Commercial Purpose and is similar to the Licensed Models;
-    3. to create models distilled or derived from the Outputs of the Licensed Models, unless such models are for Non-Commercial Purposes and open-sourced under the same license as the Licensed Models; or
-    4. in violation of any applicable laws and regulations.
-
-
 ## Citation
 If you use AbBFN2 in your research, please cite our work:
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