most citedX-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.PL2026

Fearless Concurrency on the GPU

Melih Elibol, Jared Roesch, Isaac Gelado +2

Rust has made safe systems programming practical on the CPU, but writing custom GPU kernels in Rust still forces programmers outside the language's ownership guarantees. We present…

cond-mat.soft2024★ 1 cited

X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design

Eric L. Buehler, Markus J. Buehler

We report a mixture of expert strategy to create fine-tuned large language models using a deep layer-wise token-level approach based on low-rank adaptation (LoRA). Starting with a…