Differential Transformer V2
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Papers
Improving Data and Reward Design for Scientific Reasoning in Large Language Models
SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks
Articles
microsoft/Phi-4-mini-reasoning-onnx
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36
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microsoft/Phi-4-reasoning-onnx
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microsoft/Phi-4-reasoning-plus-onnx
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38
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1
microsoft/Phi-4-multimodal-instruct-onnx
Automatic Speech Recognition
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108
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87
microsoft/Phi-4-mini-instruct-onnx
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208
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45
microsoft/phi-4-onnx
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46
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18
microsoft/Fara-7B-onnx
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33
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microsoft/Phi-3.5-mini-instruct-onnx
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microsoft/VibeVoice-AcousticTokenizer
Feature Extraction
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microsoft/InfoAgent
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microsoft/paza-Phi-4-multimodal-instruct
Automatic Speech Recognition
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188
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microsoft/paza-whisper-large-v3-turbo
Automatic Speech Recognition
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microsoft/Dayhoff-3b-GR-HM-1000
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microsoft/Dayhoff-170M-GR-1000
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microsoft/Dayhoff-170M-UR90-1000
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144
microsoft/X-Reasoner-7B
Image-Text-to-Text
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79
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8
microsoft/SNRAware
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microsoft/VibeVoice-ASR
Automatic Speech Recognition
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9B
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375k
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849
microsoft/Dayhoff-3b-GR-HM-41000
Text Generation
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3B
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40
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microsoft/Dayhoff-3b-GR-HM-31000
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3B
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46
microsoft/Dayhoff-3b-GR-HM-21000
Text Generation
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3B
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46
microsoft/Dayhoff-3b-GR-HM-11000
Text Generation
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3B
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38
microsoft/Dayhoff-170M-GR-61000
Text Generation
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333
microsoft/Dayhoff-170M-GR-46000
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microsoft/Dayhoff-170M-GR-31000
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microsoft/Dayhoff-170M-GR-16000
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microsoft/Dayhoff-170M-UR90-61000
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microsoft/Dayhoff-170M-UR90-46000
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microsoft/Dayhoff-170M-UR90-31000
Text Generation
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198
microsoft/Dayhoff-170M-UR90-16000
Text Generation
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225