QingruZhang

AdaLoRA

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).

AdaShift_Release

The original implementation of the experiments in the paper of AdaShift (See https://arxiv.org/abs/1810.00143)

alignment-handbook

Robust recipes to align language models with human and AI preferences

alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

chain-of-thought-hub

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

Data-Mining-LianJia-HousePrice-Prediction-Project

Data Mining Project: extract raw data from LianJia; data proprocess and feather engineering; build model with MLP and BiLSTM.

PASTA

PASTA: Post-hoc Attention Steering for LLMs

PLATON

This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).

Thanos

A Biased Graph Neural Network Sampler with Near-Optimal Regret.

web-attack-deep-detection

QingruZhang/AdaLoRA

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).

QingruZhang/PASTA

PASTA: Post-hoc Attention Steering for LLMs

QingruZhang/PLATON

This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).

QingruZhang/Data-Mining-LianJia-HousePrice-Prediction-Project

Data Mining Project: extract raw data from LianJia; data proprocess and feather engineering; build model with MLP and BiLSTM.

QingruZhang/chain-of-thought-hub

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

QingruZhang/alignment-handbook

Robust recipes to align language models with human and AI preferences

QingruZhang/alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

QingruZhang/baseline-lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

QingruZhang/cv_hwk_submission

QingruZhang/demonstrated-feedback

QingruZhang/exllama

A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

QingruZhang/FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

QingruZhang/lm-evaluation-harness

A framework for few-shot evaluation of language models.

QingruZhang/LoftQ

QingruZhang/lost-in-the-middle

Code and data for "Lost in the Middle: How Language Models Use Long Contexts"

QingruZhang/MAmmoTH

Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" (ICLR 2024)

QingruZhang/math

The MATH Dataset (NeurIPS 2021)

QingruZhang/OpenRLHF

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)

QingruZhang/OptiMUS

Optimization Modeling Using mip Solvers and large language models

QingruZhang/peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

QingruZhang/ReAlign

Reformatted Alignment

QingruZhang/SoftwareConfiguration

QingruZhang/Sophia

The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”

QingruZhang/summarize-from-feedback

Code for "Learning to summarize from human feedback"

QingruZhang/text-generation-webui

A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, llama.cpp (GGUF), Llama models.

QingruZhang/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

QingruZhang/trl

Train transformer language models with reinforcement learning.

QingruZhang/TrustLLM

TrustLLM: Trustworthiness in Large Language Models

QingruZhang/unify-parameter-efficient-tuning

Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)

QingruZhang/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs