From fef36cea4254a3afe9a8b97ea10f40376ceef91f Mon Sep 17 00:00:00 2001
From: Nicolas Patry <patry.nicolas@protonmail.com>
Date: Mon, 25 Sep 2023 12:22:28 +0200
Subject: [PATCH] Fixing t5 loading. (#1042)

# What does this PR do?

Fixes #1038

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Fixes # (issue)


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---
 .../models/custom_modeling/t5_modeling.py          | 14 +++++++++++---
 1 file changed, 11 insertions(+), 3 deletions(-)

diff --git a/server/text_generation_server/models/custom_modeling/t5_modeling.py b/server/text_generation_server/models/custom_modeling/t5_modeling.py
index 793f3a661..d3e4f53a6 100644
--- a/server/text_generation_server/models/custom_modeling/t5_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/t5_modeling.py
@@ -1032,9 +1032,17 @@ class T5ForConditionalGeneration(T5PreTrainedModel):
             embed_tokens=self.shared,
         )
 
-        self.lm_head = TensorParallelHead.load(
-            config, prefix="lm_head", weights=weights
-        )
+        try:
+            self.lm_head = TensorParallelHead.load(
+                config, prefix="lm_head", weights=weights
+            )
+        except RuntimeError:
+            # Some models like t5-small were saved with shared weights unlike flan
+            # Since they are declared as the same arch we have no choice but hope
+            # that this is OK instead of using a proper flag.
+            self.lm_head = TensorParallelHead.load(
+                config, prefix="shared", weights=weights
+            )
 
     def forward(
         self,