diff --git a/olmocr/pipeline.py b/olmocr/pipeline.py
index f056cd6..38f3956 100644
--- a/olmocr/pipeline.py
+++ b/olmocr/pipeline.py
@@ -132,7 +132,7 @@ async def build_page_query(local_pdf_path: str, page: int, target_longest_image_
         image_base64 = base64.b64encode(buffered.getvalue()).decode("utf-8")
 
     return {
-        "model": "Qwen/Qwen2-VL-7B-Instruct",
+        "model": "olmocr",
         "messages": [
             {
                 "role": "user",
@@ -260,8 +260,13 @@ async def process_page(args, worker_id: int, pdf_orig_path: str, pdf_local_path:
                 server_output_tokens=base_response_data["usage"].get("completion_tokens", 0),
             )
 
-            model_response_json = json.loads(base_response_data["choices"][0]["message"]["content"])
-            page_response = PageResponse(**model_response_json)
+            model_response_markdown = base_response_data["choices"][0]["message"]["content"]
+
+            # Somewhat temporary code, will need to refactor
+            from olmocr.train.dataloader import FrontMatterParser
+            parser = FrontMatterParser(front_matter_class=PageResponse)
+            front_matter, text = parser._extract_front_matter_and_text(model_response_markdown)
+            page_response = parser._parse_front_matter(front_matter, text)
 
             if not page_response.is_rotation_valid and attempt < MAX_RETRIES - 1:
                 logger.info(
@@ -581,7 +586,7 @@ async def vllm_server_task(model_name_or_path, args, semaphore):
         "--uvicorn-log-level",
         "warning",
         "--served-model-name",
-        "Qwen/Qwen2-VL-7B-Instruct",
+        "olmocr",
     ]
     cmd.extend(mem_fraction_arg)
 
@@ -1010,9 +1015,8 @@ async def main():
         default="allenai/olmOCR-7B-0225-preview",
     )
     parser.add_argument("--model_max_context", type=int, default="8192", help="Maximum context length that the model was fine tuned under")
-    parser.add_argument("--model_chat_template", type=str, default="qwen2-vl", help="Chat template to pass to vllm server")
     parser.add_argument("--target_longest_image_dim", type=int, help="Dimension on longest side to use for rendering the pdf pages", default=1024)
-    parser.add_argument("--target_anchor_text_len", type=int, help="Maximum amount of anchor text to use (characters)", default=6000)
+    parser.add_argument("--target_anchor_text_len", type=int, help="Maximum amount of anchor text to use (characters)", default=3000)
 
     # Beaker/job running stuff
     parser.add_argument("--beaker", action="store_true", help="Submit this job to beaker instead of running locally")