Official models and datasets for paper μ²Tokenizer(https://arxiv.org/abs/2507.00316)
AI & ML interests
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Papers
Seeing the Forest and the Trees: Query-Aware Tokenizer for Long-Video Multimodal Language Models
$μ^2$Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation
Organization Card
Hey there! Welcome to our team's corner at HuggingFace! We're a bunch of enthusiastic folks who are totally into the exciting world of Multimodal Large Language Models.
Our research explores innovative ways to enhance interactions between language and Image/Vidio/Audio, aiming to advance the capabilities of AI in understanding and generating multimodal content.
We're a curious bunch, always on the lookout for cool ways to make AI systems understand and generate human-like language.
models
9
AlpachinoNLP/QTSplus-InternVL2.5-8B
Image-Text-to-Text
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Updated
AlpachinoNLP/u2Qwen3-4B-Instruct
Image-to-Text
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Updated
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9
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1
AlpachinoNLP/u2Qwen3-1.7B-Instruct
Image-to-Text
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Updated
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21
AlpachinoNLP/LongCLIP-ViT-B-32
Zero-Shot Image Classification
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0.2B
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Updated
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90
AlpachinoNLP/QTSplus-3B
Image-Text-to-Text
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Updated
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1
AlpachinoNLP/QTSplus-7B
Image-Text-to-Text
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Updated
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1
AlpachinoNLP/QTSplus-3B-FT
Image-Text-to-Text
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Updated
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1
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1
AlpachinoNLP/Baichuan-7B-Instruction
Text Generation
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7B
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Updated
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5
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2
AlpachinoNLP/Baichuan-13B-Instruction
Text Generation
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Updated
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5
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6