From 0a92bade53e5c9e7748d2eb4a48ca8bc1e577a55 Mon Sep 17 00:00:00 2001
From: Adithyan Madhu <adithyanworkmail@gmail.com>
Date: Thu, 15 Jan 2026 17:03:02 +0530
Subject: [PATCH 1/2] Robust FP8 layer detection for ignore_layers (#1283)

Signed-off-by: Adithyan Madhu <adithyanworkmail@gmail.com>
---
 auto_round/compressors/utils.py | 28 ++++++++++++++++++++++++++--
 1 file changed, 26 insertions(+), 2 deletions(-)

diff --git a/auto_round/compressors/utils.py b/auto_round/compressors/utils.py
index db95d9547..0c0eaf363 100644
--- a/auto_round/compressors/utils.py
+++ b/auto_round/compressors/utils.py
@@ -865,9 +865,33 @@ def get_fp_layer_names(model: torch.nn.Module, ignore_layers: str):
         subcomponents of those layers.
     """
     from auto_round.utils import SUPPORTED_LAYER_TYPES
+    
+    not_to_quantized_layers = []
+
+    for n,m in model.name_modules():
+        if is_fp8_linear(m):
+            not_to_quantized_layers.append(n)
+            logger.trace(f"Auto-detected FP8 layer to ignore : {n}")
+    
+
+    if ignore_layers:
+        ignore_list = ignore_layers.replace(" ","").split(",")
+        for fp_layer in ignore_list:
+            if not fp_layer:
+                continue
+            for n, _ in model.named_modules():
+                match_name = fp_layer
+                if fp_layer[-1].isdigit():
+                    match_name += "."
+                if match_name in n:
+                    if n not in not_to_quantized_layers:
+                        not_to_quantized_layers.append(n)
+                        logger.trace(f"User-specified ignore layer matched {n}:")
+
+        logger.trace(f"not_to_quantized_layers: {not_to_quantized_layers}")
+        return not_to_quantized_layers
+
 
-    if not ignore_layers:
-        return []
     ignore_layers = ignore_layers.replace(" ", "").split(",")
     all_layer_names = []
     for n, m in model.named_modules():

From f4837bfb2a0cba5c41f9596fcce523cc7fb087c7 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 15 Jan 2026 14:22:56 +0000
Subject: [PATCH 2/2] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 auto_round/compressors/utils.py | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/auto_round/compressors/utils.py b/auto_round/compressors/utils.py
index 0c0eaf363..bb1bb9cf1 100644
--- a/auto_round/compressors/utils.py
+++ b/auto_round/compressors/utils.py
@@ -865,17 +865,16 @@ def get_fp_layer_names(model: torch.nn.Module, ignore_layers: str):
         subcomponents of those layers.
     """
     from auto_round.utils import SUPPORTED_LAYER_TYPES
-    
+
     not_to_quantized_layers = []
 
-    for n,m in model.name_modules():
+    for n, m in model.name_modules():
         if is_fp8_linear(m):
             not_to_quantized_layers.append(n)
             logger.trace(f"Auto-detected FP8 layer to ignore : {n}")
-    
 
     if ignore_layers:
-        ignore_list = ignore_layers.replace(" ","").split(",")
+        ignore_list = ignore_layers.replace(" ", "").split(",")
         for fp_layer in ignore_list:
             if not fp_layer:
                 continue
@@ -891,7 +890,6 @@ def get_fp_layer_names(model: torch.nn.Module, ignore_layers: str):
         logger.trace(f"not_to_quantized_layers: {not_to_quantized_layers}")
         return not_to_quantized_layers
 
-
     ignore_layers = ignore_layers.replace(" ", "").split(",")
     all_layer_names = []
     for n, m in model.named_modules():