Introduced SmolDoclingOptions to configure model parameters (such as query and artifacts path) via client code, see example in minimal_smol_docling. Provisioning for other potential vlm all-in-one models.

Signed-off-by: Maksym Lysak <mly@zurich.ibm.com>

docling/datamodel/pipeline_options.py

@@ -254,6 +254,14 @@ granite_picture_description = PictureDescriptionVlmOptions(
 )
 
 
+class SmolDoclingOptions(BaseModel):
+    artifacts_path: str = ""
+    question: str = "Perform Layout Analysis."
+    load_in_8bit: bool = True
+    llm_int8_threshold: float = 6.0
+    quantized: bool = False
+
+
 # Define an enum for the backend options
 class PdfBackend(str, Enum):
     """Enum of valid PDF backends."""
@@ -313,6 +321,8 @@ class PdfPipelineOptions(PipelineOptions):
         Field(discriminator="kind"),
     ] = smolvlm_picture_description
 
+    vlm_options: Union[SmolDoclingOptions,] = Field(SmolDoclingOptions())
+
     images_scale: float = 1.0
     generate_page_images: bool = False
     generate_picture_images: bool = False

docling/models/smol_docling_model.py

@@ -13,7 +13,11 @@ from transformers import (  # type: ignore
 
 from docling.datamodel.base_models import DocTagsPrediction, Page
 from docling.datamodel.document import ConversionResult
-from docling.datamodel.pipeline_options import AcceleratorDevice, AcceleratorOptions
+from docling.datamodel.pipeline_options import (
+    AcceleratorDevice,
+    AcceleratorOptions,
+    SmolDoclingOptions,
+)
 from docling.datamodel.settings import settings
 from docling.models.base_model import BasePageModel
 from docling.utils.accelerator_utils import decide_device
@@ -24,17 +28,23 @@ _log = logging.getLogger(__name__)
 
 class SmolDoclingModel(BasePageModel):
 
-    def __init__(self, artifacts_path: Path, accelerator_options: AcceleratorOptions):
+    def __init__(
+        self,
+        artifacts_path: Path,
+        accelerator_options: AcceleratorOptions,
+        vlm_options: SmolDoclingOptions,
+    ):
         device = decide_device(accelerator_options.device)
         self.device = device
         _log.info("Available device for SmolDocling: {}".format(device))
 
         # PARAMETERS:
-        self.param_question = "Perform Layout Analysis."
+        self.param_question = vlm_options.question  # "Perform Layout Analysis."
         self.param_quantization_config = BitsAndBytesConfig(
-            load_in_8bit=True, llm_int8_threshold=6.0
+            load_in_8bit=vlm_options.load_in_8bit,  # True,
+            llm_int8_threshold=vlm_options.llm_int8_threshold,  # 6.0
         )
-        self.param_quantized = False
+        self.param_quantized = vlm_options.quantized  # False
 
         self.processor = AutoProcessor.from_pretrained(artifacts_path)
         if not self.param_quantized:

docling/pipeline/vlm_pipeline.py

@@ -36,8 +36,6 @@ _log = logging.getLogger(__name__)
 
 
 class VlmPipeline(PaginatedPipeline):
-    # _smol_vlm_path = "SmolDocling-0.0.2"
-    _smol_vlm_path = "SmolDocling_2.7_DT_0.7"
 
     def __init__(self, pipeline_options: PdfPipelineOptions):
         super().__init__(pipeline_options)
@@ -60,8 +58,9 @@ class VlmPipeline(PaginatedPipeline):
 
         self.build_pipe = [
             SmolDoclingModel(
-                artifacts_path=self.artifacts_path / VlmPipeline._smol_vlm_path,
+                artifacts_path=self.artifacts_path,
                 accelerator_options=pipeline_options.accelerator_options,
+                vlm_options=self.pipeline_options.vlm_options,
             ),
         ]
 

docs/examples/minimal_smol_docling.py

@@ -8,24 +8,31 @@ import yaml
 
 from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
 from docling.datamodel.base_models import InputFormat
-from docling.datamodel.pipeline_options import PdfPipelineOptions
+from docling.datamodel.pipeline_options import PdfPipelineOptions, SmolDoclingOptions
 from docling.document_converter import DocumentConverter, PdfFormatOption
 from docling.pipeline.vlm_pipeline import VlmPipeline
 
 sources = [
-    # "https://arxiv.org/pdf/2408.09869"
+    # "https://arxiv.org/pdf/2408.09869",
     # "tests/data/2305.03393v1-pg9-img.png",
     "tests/data/2305.03393v1-pg9.pdf",
-    # "demo_data/page.png",
-    # "demo_data/original_tables.pdf",
 ]
 
 pipeline_options = PdfPipelineOptions()
 pipeline_options.generate_page_images = True
-pipeline_options.force_backend_text = (
-    False  # If True, text from backend will be used instead of generated text
+# If force_backend_text = True, text from backend will be used instead of generated text
+pipeline_options.force_backend_text = False
+pipeline_options.artifacts_path = "model_artifacts/SmolDocling_2.7_DT_0.7"
+
+vlm_options = SmolDoclingOptions(
+    artifacts_path="model_artifacts/SmolDocling_2.7_DT_0.7",
+    question="Perform Layout Analysis.",
+    load_in_8bit=True,
+    llm_int8_threshold=6.0,
+    quantized=False,
 )
-pipeline_options.artifacts_path = "model_artifacts"
+
+pipeline_options.vlm_options = vlm_options
 
 from docling_core.types.doc import DocItemLabel, ImageRefMode
 from docling_core.types.doc.document import DEFAULT_EXPORT_LABELS