Fix LightOnOCR-2 repetition issues and configuration

- Change max_tokens default from 6144 to 4096 (as recommended by model card)
- Add enable_prefix_caching=False (recommended by model card)
- Add mm_processor_kwargs with cache_gb=0 to disable multimodal processor caching
- Replace deprecated hf_transfer extra with hf-xet package

These changes align with the official vLLM serve recommendations:
vllm serve lightonai/LightOnOCR-2-1B \
--limit-mm-per-prompt '{"image": 1}' \
--mm-processor-cache-gb 0 \
--no-enable-prefix-caching

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

lighton-ocr2.py

@@ -3,7 +3,8 @@
 # dependencies = [
 #     "datasets>=3.1.0",
 #     "pyarrow>=17.0.0,<18.0.0",
-#     "huggingface-hub[hf_transfer]",
+#     "huggingface-hub",
+#     "hf-xet",
 #     "pillow",
 #     "vllm",
 #     "tqdm",
@@ -277,7 +278,7 @@ def main(
     image_column: str = "image",
     batch_size: int = 16,
     max_model_len: int = 8192,
-    max_tokens: int = 6144,
+    max_tokens: int = 4096,
     temperature: float = 0.2,
     top_p: float = 0.9,
     gpu_memory_utilization: float = 0.8,
@@ -339,6 +340,8 @@ def main(
         gpu_memory_utilization=gpu_memory_utilization,
         limit_mm_per_prompt={"image": 1},  # One image per prompt
         enforce_eager=False,  # Use torch.compile for better performance
+        enable_prefix_caching=False,  # Recommended by model card
+        mm_processor_kwargs={"cache_gb": 0},  # Disable multimodal processor caching
     )
 
     # LightOnOCR-2 recommended sampling parameters
@@ -540,8 +543,8 @@ Examples:
     parser.add_argument(
         "--max-tokens",
         type=int,
-        default=6144,
-        help="Maximum tokens to generate (default: 6144, trained sequence length)",
+        default=4096,
+        help="Maximum tokens to generate (default: 4096, recommended for arXiv papers)",
     )
     parser.add_argument(
         "--temperature",