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meta-llama/Llama-3.2-1B-Instruct
Text Generation โข Updated โข 3.09M โข โข 1.3k -
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
Paper โข 2505.11855 โข Published โข 10 -
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.
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