Update PaddleOCR-VL configuration for vLLM compatibility and enhance model parameters

paddleocr-vl.py

@@ -9,6 +9,7 @@
 #     "toolz",
 #     "torch",
 #     "pyarrow",
+#     "transformers",
 # ]
 #
 # [[tool.uv.index]]
@@ -388,12 +389,19 @@ def main(
     logger.info(f"Initializing vLLM with {model_name}")
     logger.info("This may take a minute on first run (model is only 0.9B)...")
 
+    # Note: PaddleOCR-VL requires specific vLLM configuration
+    # The model needs custom implementation files to be loaded
+    os.environ["VLLM_USE_V1"] = "0"  # Disable V1 engine for compatibility
+    
     llm = LLM(
         model=model_name,
         trust_remote_code=True,
         max_model_len=max_model_len,
         gpu_memory_utilization=gpu_memory_utilization,
         limit_mm_per_prompt={"image": 1},
+        max_num_batched_tokens=16384,  # Match server config
+        enable_prefix_caching=False,  # Disable prefix caching like server
+        enforce_eager=True,  # Use eager mode instead of CUDA graphs
     )
 
     # Sampling parameters - deterministic for OCR