Distilling SD-1.5 into LCMs for very fast inference. We can get a viable image in 2-5 steps compared to 50-60 steps required from the orginal model.
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models
17
Mercity/PII-NER-DebertaV3
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Mercity/daxa-deberta-pii-ner
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Mercity/Qwen_Drafter_20_01
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Mercity/MLA_Qwen_Drafter
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3
Mercity/Qwen3-8B-LaCo-30L
Text Generation
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7B
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Mercity/Qwen3-8B-LaCo-Pruned
Text Generation
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6B
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Mercity/lcm-lora-sd1.5-1600
Text-to-Image
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Mercity/lcm-lora-sd1.5-1200
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Mercity/lcm-lora-sd1.5-800
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Mercity/lcm-lora-sd1.5-400
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datasets
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Mercity/Figure-Skating-Classification-Data
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14
Mercity/FineWeb-Preprocessed
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10M
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Mercity/General-Stories-Collection-Tokenized
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Mercity/General-Stories-Collection
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Mercity/laion-subset
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Mercity/ReasonBridge-URT
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39
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Mercity/Memory_embedding
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411k
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Mercity/bhagavad_gita-embeddings
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Mercity/mahabharat-embeddings
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Mercity/ramayana-embeddings
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