diff --git a/docling/models/smol_docling_model.py b/docling/models/smol_docling_model.py
index 3d48a532..252ae0f2 100644
--- a/docling/models/smol_docling_model.py
+++ b/docling/models/smol_docling_model.py
@@ -97,16 +97,21 @@ class SmolDoclingModel(BasePageModel):
                     start_time = time.time()
                     # Call model to generate:
                     generated_ids = self.vlm_model.generate(
-                        **inputs, max_new_tokens=4096
+                        **inputs, max_new_tokens=4096, use_cache=True
                     )
 
                     generation_time = time.time() - start_time
 
                     generated_texts = self.processor.batch_decode(
-                        generated_ids, skip_special_tokens=True
+                        generated_ids, skip_special_tokens=False
                     )[0]
                     num_tokens = len(generated_ids[0])
-                    generated_texts = generated_texts.replace("Assistant: ", "")
+                    # DELETE NOISE BEFORE "Assistant: "
+                    starting_point = "Assistant: "
+                    generated_texts = generated_texts[
+                        generated_texts.index(starting_point) + len(starting_point) :
+                    ]
+                    # generated_texts = generated_texts.replace("Assistant: ", "")
                     page_tags = generated_texts
 
                     inference_time = time.time() - start_time
diff --git a/docling/pipeline/vlm_pipeline.py b/docling/pipeline/vlm_pipeline.py
index 20015748..eb9e86f5 100644
--- a/docling/pipeline/vlm_pipeline.py
+++ b/docling/pipeline/vlm_pipeline.py
@@ -36,7 +36,8 @@ _log = logging.getLogger(__name__)
 
 
 class VlmPipeline(PaginatedPipeline):
-    _smol_vlm_path = "SmolDocling-0.0.2"
+    # _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)
@@ -207,7 +208,9 @@ class VlmPipeline(PaginatedPipeline):
                         right_offset = 2
 
                     # Check next element(s) for lcel / ucel / xcel, set properly row_span, col_span
-                    next_right_cell = texts[i + right_offset]
+                    next_right_cell = ""
+                    if i + right_offset < len(texts):
+                        next_right_cell = texts[i + right_offset]
 
                     next_bottom_cell = ""
                     if r_idx + 1 < len(split_row_tokens):
@@ -367,7 +370,7 @@ class VlmPipeline(PaginatedPipeline):
                         ),
                     )
 
-                elif line.startswith("<section-header>"):
+                elif line.startswith("<section_header_level_1>"):
                     prov_item = extract_bounding_box(line)
                     if self.force_backend_text:
                         content = extract_text_from_backend(page, prov_item)
@@ -421,7 +424,7 @@ class VlmPipeline(PaginatedPipeline):
                         ),
                     )
 
-                elif line.startswith("<page-header>"):
+                elif line.startswith("<page_header>"):
                     prov_item = extract_bounding_box(line)
                     if self.force_backend_text:
                         content = extract_text_from_backend(page, prov_item)
@@ -442,7 +445,7 @@ class VlmPipeline(PaginatedPipeline):
                         ),
                     )
 
-                elif line.startswith("<page-footer>"):
+                elif line.startswith("<page_footer>"):
                     prov_item = extract_bounding_box(line)
                     if self.force_backend_text:
                         content = extract_text_from_backend(page, prov_item)
@@ -463,7 +466,7 @@ class VlmPipeline(PaginatedPipeline):
                         ),
                     )
 
-                elif line.startswith("<figure>"):
+                elif line.startswith("<picture>"):
                     bbox = extract_bounding_box(line)
                     if bbox:
                         bounding_boxes.append((bbox, "yellow"))
@@ -492,7 +495,7 @@ class VlmPipeline(PaginatedPipeline):
                                     bbox=bbox, charspan=(0, 0), page_no=page_no
                                 ),
                             )
-                elif line.startswith("<list>"):
+                elif line.startswith("<list_item>"):
                     prov_item_inst = None
                     prov_item = extract_bounding_box(line)
                     if self.force_backend_text:
@@ -529,7 +532,7 @@ class VlmPipeline(PaginatedPipeline):
                         parent=current_group,
                         prov=prov_item_inst if prov_item_inst else None,
                     )
-                elif line.startswith("<checkbox-unselected>"):
+                elif line.startswith("<checkbox_unselected>"):
                     prov_item_inst = None
                     prov_item = extract_bounding_box(line)
                     if self.force_backend_text:
@@ -548,7 +551,7 @@ class VlmPipeline(PaginatedPipeline):
                         prov=prov_item_inst if prov_item_inst else None,
                     )
 
-                elif line.startswith("<checkbox-selected>"):
+                elif line.startswith("<checkbox_selected>"):
                     prov_item_inst = None
                     prov_item = extract_bounding_box(line)
                     if self.force_backend_text:
diff --git a/docs/examples/minimal_smol_docling.py b/docs/examples/minimal_smol_docling.py
index 14e340b9..6e95bbf4 100644
--- a/docs/examples/minimal_smol_docling.py
+++ b/docs/examples/minimal_smol_docling.py
@@ -13,6 +13,7 @@ from docling.document_converter import DocumentConverter, PdfFormatOption
 from docling.pipeline.vlm_pipeline import VlmPipeline
 
 sources = [
+    # "https://arxiv.org/pdf/2408.09869"
     # "tests/data/2305.03393v1-pg9-img.png",
     "tests/data/2305.03393v1-pg9.pdf",
     # "demo_data/page.png",
@@ -60,8 +61,14 @@ for source in sources:
     print("")
     print(res.document.export_to_markdown())
 
-    with (out_path / f"{res.input.file.stem}.html").open("w") as fp:
-        fp.write(res.document.export_to_html())
+    # with (out_path / f"{res.input.file.stem}.html").open("w") as fp:
+    #     fp.write(res.document.export_to_html())
+
+    res.document.save_as_html(
+        filename=Path("{}/{}.html".format(out_path, res.input.file.stem)),
+        image_mode=ImageRefMode.REFERENCED,
+        labels=[*DEFAULT_EXPORT_LABELS, DocItemLabel.FOOTNOTE],
+    )
 
     with (out_path / f"{res.input.file.stem}.json").open("w") as fp:
         fp.write(json.dumps(res.document.export_to_dict()))