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meta-llama/Llama-3.2-1B-Instruct
Text Generation โข 1B โข Updated โข 3.47M โข โข 1.19k -
stabilityai/stable-diffusion-3.5-large-turbo
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When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research
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ArxivBench: Can LLMs Assist Researchers in Conducting Research?
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Introducing the D.Markdown Experimental Models, Proxima and Epsilon OCR models, built on top of Qwen3-VL and Qwen2.5-VL respectively. Proxima is optimized for Markdown generation and is capable of embedding inline programming code snippets and generating rich nodes such as HTML, XML, JSON, and YAML. Epsilon is optimized for reconstructing complex layouts including tables, forms, and mathematical content. ๐โจ
โ proxima-ocr-d.markdown-post3.0.l: https://huggingface.co/prithivMLmods/proxima-ocr-d.markdown-post3.0.l
โ epsilon-ocr-d.markdown-post3.0.m: https://huggingface.co/prithivMLmods/epsilon-ocr-d.markdown-post3.0.m
โ proxima-ocr-d.markdown-post3.0.l-gguf: https://huggingface.co/prithivMLmods/proxima-ocr-d.markdown-post3.0.l-GGUF
โ epsilon-ocr-d.markdown-post3.0.m-gguf: https://huggingface.co/prithivMLmods/epsilon-ocr-d.markdown-post3.0.m-GGUF
โ Collection: https://huggingface.co/collections/prithivMLmods/dynamic-markdowns
โ Multimodal Apps: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
๐ These models are stage progression models, and currently they may contain artifacts.
To know more about it, visit the app page or the respective model page!
updated
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updated
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