We have 2 of 4 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
The success of large language models (LLMs) has been accompanied by continued growth in model size and pretraining costs. Muon offers high accuracy and training efficiency in LLM pretraining. Recent work introduces row-wise normalization into Muon to balance update magnitudes and improve pretraining performance. Howeve...
ATSInfer combines static tensor placement with load-aware dynamic transfer and introduces asynchronous CPU-GPU coordination to efficiently schedule hardware storage, data movement, and computation across heterogeneous backends and can substantially improve the user experience of local LLM deployment on personal consume...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
