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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Updated
Jul 20, 2024 - Python
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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Running large language models on a single GPU for throughput-oriented scenarios.
A crowdsourced distributed cluster for AI art and text generation
Training and inference scripts for Meta's OPT LLM models using the Alpaca Instruct format.
4D reconstruction of developmental trajectories using spherical harmonics
Train very large language models in Jax.
MinT: Minimal Transformer Library and Tutorials
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.
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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