67 citations · 69 across the 5 of their papers we have counts for
5 papers
Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models
Nii Osae Osae Dade, Tony Morri, Moinul Hossain Rahat +2
Large language models (LLMs) have transformed artificial intelligence, but their computational requirements remain prohibitive for most users. Standard inference demands expensive…
SpinGQE: A Generative Quantum Eigensolver for Spin Hamiltonians
Alexander Holden, Moinul Hossain Rahat, Nii Osae Osae Dade
The ground state search problem is central to quantum computing, with applications spanning quantum chemistry, condensed matter physics, and optimization. The Variational Quantum E…
Litespark Technical Report: High-Throughput, Energy-Efficient LLM Training Framework
Nii Osae Osae Dade, Moinul Hossain Rahat
Training Large Language Models (LLMs) is plagued by long training times and massive energy consumption, with modern models requiring months of computation and gigawatt-hours of ele…
StarCoder 2 and The Stack v2: The Next Generation
Anton Lozhkov, Raymond Li, Loubna Ben Allal +63
The BigCode project, an open-scientific collaboration focused on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder2. In partnership wi…
Optimizing Large Language Models to Expedite the Development of Smart Contracts
Nii Osae Osae Dade, Margaret Lartey-Quaye, Emmanuel Teye-Kofi Odonkor +1
Programming has always been at the heart of technological innovation in the 21st century. With the advent of blockchain technologies and the proliferation of web3 paradigms of dece…