A collection of high-order functions providing a bevy of new declarative features
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Updated
Jun 19, 2024
A collection of high-order functions providing a bevy of new declarative features
This is the official PyTorch implementation of "LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models", and also an efficient LLM compression tool with various advanced compression methods, supporting multiple inference backends.
A crowdsourced distributed cluster for AI art and text generation
New OTP Bot, working with any company or service name to fetch otp code.
🔐 Node/Browser module for TOTP and HOTP generator based on RFC 6238 and RFC 4226 🗝️
Running large language models on a single GPU for throughput-oriented scenarios.
Training and inference scripts for Meta's OPT LLM models using the Alpaca Instruct format.
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
Train very large language models in Jax.
Adds (up to date) TweakScale /L patches for Orbit Portal Technologies (OPT).
Data-driven insights on job hunting for international students in the USA, analyzing listings, roles, and trends.
Small benchmark library focused on avoiding optimization/deoptimization pollution between tests by isolating them.
Curated list of open source and openly accessible large language models
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