Add comment for BaseQuantizeConfig

auto_fp8/config.py

@@ -2,6 +2,23 @@
 
 
 class BaseQuantizeConfig:
+    """Configuration for model quantization.
+
+    Args:
+        quant_method: Type/precision of quantization method to use.
+            At the moment, this is just "fp8" which specifically means
+            the fp8_e4m3 format in pytorch.
+        activation_scheme: Choice of either "dynamic" or "static" quantization
+            of activtions. If "static", then calibration samples are required
+            during quantization to produce accurate per-tensor scales for
+            activations of Linear modules.
+        ignore_patterns: List of patterns used to ignore layers. If a string
+            starts with "re:", then everything afterwards is used as python
+            regex style matching i.e. re.search(), for each Linear layer.
+            By default, "re:.*lm_head" is included to ignore the embedding
+            Linear layer usually at the end of decoder LLMs
+    """
+
     def __init__(
         self,
         quant_method: str = "fp8",