[v1] upgrade batching (#9751)

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

scripts/convert_ckpt/tiny_qwen3.py

@@ -0,0 +1,32 @@
+# Copyright 2025 the LlamaFactory team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from transformers import AutoTokenizer, Qwen3Config, Qwen3ForCausalLM
+
+
+if __name__ == "__main__":
+    tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-4B-Instruct-2507")
+    config = Qwen3Config(
+        hidden_size=1408,
+        image_size=336,
+        intermediate_size=5632,
+        num_attention_heads=16,
+        num_hidden_layers=4,
+        vision_output_dim=4096,
+    )
+    model = Qwen3ForCausalLM.from_config(config)
+    model.save_pretrained("tiny-qwen3")
+    tokenizer.save_pretrained("tiny-qwen3")
+    model.push_to_hub("llamafactory/tiny-random-qwen3")
+    tokenizer.push_to_hub("llamafactory/tiny-random-qwen3")