Jacob Nielsen's picture

3

Jacob Nielsen

JacobBITLABS

·

AI & ML interests

Extreme Quantization · Low ressource constrained Language Modelling · Low-bandwidth distributed trainings · Datasets

Recent Activity

updated a dataset 4 days ago

schneiderkamplab/Edda-Beta

published a dataset 4 days ago

schneiderkamplab/Edda-Beta

updated a dataset 5 days ago

schneiderkamplab/DA-Refusals

View all activity

Organizations

authored a paper 3 months ago

FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Federatedly-trained Large Language Models

Paper • 2602.08818 • Published Feb 9 • 2

submitted a paper to Daily Papers 3 months ago

FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Federatedly-trained Large Language Models

Paper • 2602.08818 • Published Feb 9 • 2

authored 2 papers 5 months ago

Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models?

Paper • 2502.11895 • Published Feb 17, 2025 • 3

DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes

Paper • 2502.06728 • Published Feb 10, 2025

authored a paper 9 months ago

Dynaword: From One-shot to Continuously Developed Datasets

Paper • 2508.02271 • Published Aug 4, 2025 • 15

authored 3 papers over 1 year ago

Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?

Paper • 2312.04548 • Published Dec 7, 2023 • 1

BitNet b1.58 Reloaded: State-of-the-art Performance Also on Smaller Networks

Paper • 2407.09527 • Published Jun 24, 2024

When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantization

Paper • 2411.05882 • Published Nov 8, 2024 • 1