The second version of omnimodal large model Uni-MoE
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Papers
Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding
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Lychee Team from the Research Institute of Computing and Intelligence, Harbin Institute of Technology, Shenzhen. 🔥
models
28
HIT-TMG/Uni-MoE-2.0-Omni
Any-to-Any
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Updated
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180
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35
HIT-TMG/Uni-MoE-2.0-Base
Any-to-Any
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28B
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Updated
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4
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3
HIT-TMG/Uni-MoE-2.0-Thinking
Reinforcement Learning
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28B
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Updated
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7
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2
HIT-TMG/Uni-MoE-2.0-Image
Text-to-Image
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31B
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Updated
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88
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4
HIT-TMG/Uni-MoE-TTS
Updated
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3
HIT-TMG/UniMoE-Audio-Preview
7B
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Updated
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6
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10
HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v2
Feature Extraction
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0.5B
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Updated
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1.65k
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33
HIT-TMG/EviOmni-nq_train-1.5B
Question Answering
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2B
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Updated
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3
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5
HIT-TMG/EviOmni-nq_train-7B
Question Answering
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8B
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Updated
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5
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2
HIT-TMG/CIGEval-Qwen2.5-VL-7B-Instruct-sft
8B
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Updated
datasets
8
HIT-TMG/VideoVista-2
Viewer
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Updated
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3.52k
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238
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4
HIT-TMG/VideoVista-CoTs
Viewer
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Updated
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15k
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25
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1
HIT-TMG/KaLM-embedding-pretrain-data
Viewer
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Updated
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23.7M
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2.32k
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20
HIT-TMG/CIGEval_sft_data
Viewer
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Updated
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6.63k
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30
HIT-TMG/YiZhao
Viewer
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Updated
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47.5M
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154
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6
HIT-TMG/MultiSkill
Viewer
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Updated
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1k
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8
HIT-TMG/TruthReader_RAG_train
Viewer
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Updated
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7.16k
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39
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6
HIT-TMG/Hansel
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7.81M
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1.78k
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8