Add PaddleOCR-VL-1.5 to the model registry

src/ocr_bench/run.py

@@ -87,6 +87,14 @@ class ModelConfig:
         size="3B",
         default_flavor="l4x1",
     ),
+    # PaddleOCR-VL-1.5 uses transformers batch inference (no vLLM/flashinfer), so it
+    # runs on the default uv-script image — unlike 1.6, which needs the prebuilt image.
+    "paddleocr-vl-1.5": ModelConfig(
+        script="https://huggingface.co/datasets/uv-scripts/ocr/raw/main/paddleocr-vl-1.5.py",
+        model_id="PaddlePaddle/PaddleOCR-VL-1.5",
+        size="0.9B",
+        default_flavor="l4x1",
+    ),
     # Image-mode models (Qwen3.5 / flashinfer) — need the vllm/vllm-openai image.
     "nuextract3": ModelConfig(
         script="https://huggingface.co/datasets/uv-scripts/ocr/raw/main/nuextract3.py",

tests/test_run.py

@@ -48,7 +48,7 @@ def test_image_mode_fields_default_none(self):
 
 class TestModelRegistry:
     def test_has_core_models(self):
-        assert len(MODEL_REGISTRY) == 9
+        assert len(MODEL_REGISTRY) == 10
 
     def test_default_models_exist_in_registry(self):
         for slug in DEFAULT_MODELS:
@@ -80,6 +80,15 @@ def test_image_mode_models_not_in_defaults(self):
         assert "nuextract3" not in DEFAULT_MODELS
         assert "paddleocr-vl-1.6" not in DEFAULT_MODELS
 
+    def test_paddleocr_vl_15_is_standard(self):
+        # 1.5 uses transformers batch inference (no vLLM/flashinfer), so it runs on
+        # the default uv-script image — unlike 1.6, it needs no image-mode config.
+        cfg = MODEL_REGISTRY["paddleocr-vl-1.5"]
+        assert cfg.default_flavor == "l4x1"
+        assert cfg.image is None
+        assert cfg.python is None
+        assert cfg.env is None
+
 
 class TestListModels:
     def test_returns_sorted_slugs(self):