diff --git a/pyproject.toml b/pyproject.toml
index 4364c2e33a..ea420e2ffb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -97,6 +97,15 @@ colab_ampere = [
     "ninja",
     "flash-attn",
 ]
+colab_torch211 = [
+    "unsloth[cu121_torch211]",
+]
+colab_ampere_torch211 = [
+    "unsloth[cu121_torch211]",
+    "packaging",
+    "ninja",
+    "flash-attn",
+]
 cu118_ampere = [
     "unsloth[huggingface]",
     "bitsandbytes",
diff --git a/unsloth/models/_utils.py b/unsloth/models/_utils.py
index 8ddf4d60da..5f35851443 100644
--- a/unsloth/models/_utils.py
+++ b/unsloth/models/_utils.py
@@ -30,7 +30,19 @@ major_version, minor_version = torch.cuda.get_device_capability()
 if major_version >= 8:
     try:
         from flash_attn import flash_attn_func
-        HAS_FLASH_ATTENTION = True
+        # Check for CUDA linking errors "undefined symbol: _ZNK3c106SymIntltEl"
+        try:
+            from flash_attn.flash_attn_interface import flash_attn_cuda
+            HAS_FLASH_ATTENTION = True
+        except:
+            logger.warning_once(
+                "Unsloth: Your Flash Attention 2 installation seems to be broken?\n"\
+                "A possible explanation is you have a new CUDA version which isn't\n"\
+                "yet compatible with FA2? Please file a ticket to Unsloth or FA2.\n"\
+                "We shall now use Xformers instead, which gets a 0.01% performance hit.\n"\
+                "We found this negligible impact by benchmarking on 1x A100."
+            )
+            HAS_FLASH_ATTENTION = False
     except:
         HAS_FLASH_ATTENTION = False
 else: