Running large language models on a single GPU for throughput-oriented scenarios.
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Updated
Apr 19, 2024 - Python
Running large language models on a single GPU for throughput-oriented scenarios.
A crowdsourced distributed cluster for AI art and text generation
MinT: Minimal Transformer Library and Tutorials
Train very large language models in Jax.
This is the official PyTorch implementation of "LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models"
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Hacks, tricks and wizardry for Unity to enhance performance or make impossible things possible ...
Curated list of open source and openly accessible large language models
Small benchmark library focused on avoiding optimization/deoptimization pollution between tests by isolating them.
4D reconstruction of developmental trajectories using spherical harmonics
[NeurIPS 2023 - ML for Audio Workshop (Oral)] Zero-shot audio captioning with audio-language model guidance and audio context keywords
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숭실대학교 컴퓨터학부 3학년 운영체제
This bot attends the online classes held on Microsoft teams, according to the given timetable.Informs if bot is successfully joined the meeting through discord.
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