Delete model_diagnostics.py

model_diagnostics.py

@@ -1,44 +0,0 @@
-import re
-
-class ModelDiagnostics:
-    @staticmethod
-    def estimate_vram(param_str):
-        """
-        Estimates VRAM usage based on parameter string (e.g., '7B', '0.5B').
-        Formula: (Params * Precision Bytes) + 20% Overhead for Context/Activations
-        """
-        try:
-            # Clean string and extract number
-            clean_str = param_str.lower().replace('b', '').replace('m', '')
-            val = float(clean_str)
-            
-            # Normalize to Billions
-            if 'm' in param_str.lower():
-                val = val / 1000.0
-            
-            # Constants
-            overhead = 1.2 # 20% overhead for context window/activations
-            
-            # Calculations
-            fp16_gb = (val * 2 * overhead)   # 2 bytes per param
-            int8_gb = (val * 1 * overhead)   # 1 byte per param
-            fp32_gb = (val * 4 * overhead)   # 4 bytes per param
-            
-            return {
-                "FP32 (Training/Full)": f"{fp32_gb:.2f} GB",
-                "FP16 (Inference)": f"{fp16_gb:.2f} GB",
-                "INT8 (Quantized)": f"{int8_gb:.2f} GB",
-                "params_in_billions": val
-            }
-        except Exception as e:
-            return None
-
-    @staticmethod
-    def get_layer_structure(model):
-        """
-        Returns the raw string representation of the PyTorch model modules.
-        """
-        if model:
-            # We strip the outer wrapper to get straight to the layers
-            return str(model)
-        return "Model not loaded."