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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 26 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 13 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 41 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 22
Collections
Discover the best community collections!
Collections including paper arxiv:2501.01957
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 83 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ
Text Generation • Updated • 3.96k • 317 -
TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ
Text Generation • Updated • 88.1k • 135 -
mistralai/Mixtral-8x7B-Instruct-v0.1
Text Generation • Updated • 2.22M • • 4.27k -
TheBloke/MixtralOrochi8x7B-GPTQ
Text Generation • Updated • 13 • 7