law-data pile-of-law/pile-of-law Updated Jan 8, 2023 • 3.87k • 246 HartreeCentre/JustiaCorpus Viewer • Updated Nov 20, 2023 • 303k • 9 • 3
papers The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines Paper • 2408.01050 • Published Aug 2, 2024 • 9 POA: Pre-training Once for Models of All Sizes Paper • 2408.01031 • Published Aug 2, 2024 • 29 Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion Paper • 2408.00458 • Published Aug 1, 2024 • 13 MIO: A Foundation Model on Multimodal Tokens Paper • 2409.17692 • Published Sep 26, 2024 • 54
The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines Paper • 2408.01050 • Published Aug 2, 2024 • 9
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion Paper • 2408.00458 • Published Aug 1, 2024 • 13
law-data pile-of-law/pile-of-law Updated Jan 8, 2023 • 3.87k • 246 HartreeCentre/JustiaCorpus Viewer • Updated Nov 20, 2023 • 303k • 9 • 3
papers The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines Paper • 2408.01050 • Published Aug 2, 2024 • 9 POA: Pre-training Once for Models of All Sizes Paper • 2408.01031 • Published Aug 2, 2024 • 29 Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion Paper • 2408.00458 • Published Aug 1, 2024 • 13 MIO: A Foundation Model on Multimodal Tokens Paper • 2409.17692 • Published Sep 26, 2024 • 54
The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines Paper • 2408.01050 • Published Aug 2, 2024 • 9
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion Paper • 2408.00458 • Published Aug 1, 2024 • 13
