Update README.md

README.md

@@ -1,11 +1,10 @@
 ---
-license: apache-2.0
 base_model: Qwen/Qwen2-0.5B
 tags:
-  - experimental
-  - inference
-  - feature-selection
-  - bayesian
+- experimental
+- inference
+- feature-selection
+- bayesian
 ---
 
 # **I made Qwen2-0.5B run 1000× smaller with no matrix multiplications and almost no RAM usage — adaptive sparse selection at inference time, and it actually works.**
@@ -657,6 +656,4 @@ if __name__ == "__main__":
 
 - Does the flagged feature subset stay stable across different prompts, or does it change drastically session to session?
 - Is there a relationship between which features get flagged and attention patterns in the same layer?
-- Right now `BAYES_EVERY_N = 8` and the deviation threshold (`> 1.0` std) are picked without tuning — sweeping these would show whether the flagged fraction is a real signal or just a threshold artifact.
-
-
+- Right now `BAYES_EVERY_N = 8` and the deviation threshold (`> 1.0` std) are picked without tuning — sweeping these would show whether the flagged fraction is a real signal or just a threshold artifact.