Update model.py

model.py

@@ -6,7 +6,7 @@ from config import *
 import sys
 import os
 
-# Dynamically link the blazing fast Qsbits C++ Kernel
+# Dynamically link the fast Qsbits C++ Kernel
 ext_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'Qsbits', 'ssm_extension')
 if ext_path not in sys.path:
     sys.path.append(ext_path)
@@ -107,7 +107,6 @@ class MiniTransformer(nn.Module):
 
         # Removed self.pos_emb (Mamba/SSM handles time naturally without Positional Embeddings!)
 
-        # Dynamically scaled to match your old config variables!
         self.blocks = nn.ModuleList(
             [QsbitsA2BBlock(N_EMBD, N_EMBD // 2, 4 * N_EMBD) for _ in range(N_LAYER)]
         )
@@ -138,5 +137,4 @@ class MiniTransformer(nn.Module):
 
         logits = self.head(x)
 
-        # Returned EXACTLY like your old model so your train.py doesn't crash!
         return logits