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Jamey O'Neill
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Update model ID from jimnoneill to fairdataihub HuggingFace org
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README.md

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@@ -59,7 +59,7 @@ Convert scientific posters (PDF/images) to structured JSON metadata using Large
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The pipeline uses:
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- [**Llama-3.1-8B-Poster-Extraction**](https://huggingface.co/jimnoneill/Llama-3.1-8B-Poster-Extraction) for JSON structuring
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- [**Llama-3.1-8B-Poster-Extraction**](https://huggingface.co/fairdataihub/Llama-3.1-8B-Poster-Extraction) for JSON structuring
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- **Qwen2-VL-7B** for vision-based OCR of image posters
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- **pdfalto** for layout-aware PDF text extraction
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docs/architecture.md

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### Llama 3.1 8B Poster Extraction
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**Model**: [jimnoneill/Llama-3.1-8B-Poster-Extraction](https://huggingface.co/jimnoneill/Llama-3.1-8B-Poster-Extraction)
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**Model**: [fairdataihub/Llama-3.1-8B-Poster-Extraction](https://huggingface.co/fairdataihub/Llama-3.1-8B-Poster-Extraction)
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Fine-tuned version of Meta's Llama 3.1 8B Instruct for scientific poster metadata extraction:
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### Model Configuration
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```python
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JSON_MODEL_ID = "jimnoneill/Llama-3.1-8B-Poster-Extraction"
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JSON_MODEL_ID = "fairdataihub/Llama-3.1-8B-Poster-Extraction"
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VISION_MODEL_ID = "Qwen/Qwen2-VL-7B-Instruct"
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MAX_JSON_TOKENS = 18000
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MAX_RETRY_TOKENS = 24000

poster2json/extract.py

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)
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# Model configuration
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JSON_MODEL_ID = "jimnoneill/Llama-3.1-8B-Poster-Extraction"
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JSON_MODEL_ID = "fairdataihub/Llama-3.1-8B-Poster-Extraction"
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VISION_MODEL_ID = "Qwen/Qwen2-VL-7B-Instruct"
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# Token limits

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