IronMan's repositories
Awesome-Vision-Knowledge-Distillation
Awesome Knowledge-Distillation for CV
Awesome-Efficient-Diffusion-Models
Paper survey of efficient computation for large scale models.
Awesome-LoRA-Low-Rank-Adaptation
Awesome-Low-Rank-Adaptation
Auto-Prox-AAAI24
Auto-Prox-AAAI24
AdaGP
Official Repo for Adaptive Global Pruning of LLMs
APQ-DM
This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24)
Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
Awesome-LLM-Synthetic-Data
A reading list on LLM based Synthetic Data Generation 🔥
DiscoPOP
Code for Discovering Preference Optimization Algorithms with and for Large Language Models
FouriScale
Official implementation of FouriScale
FRDiff
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models
LGD
Lightweight Model Pre-training via Language Guided Knowledge Distillation
loretta
[NAACL 24] LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
MATES
Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
moe-quantization
Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"
OLMoE
OLMoE: Open Mixture-of-Experts Language Models
PlainMamba
PlainMamba: Improving Non-hierarchical Mamba in Visual Recognition
SANE
Code Repository for the ICML 2024 paper: "Towards Scalable and Versatile Weight Space Learning".
shortened-llm
Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]
SimDA
[CVPR 2024] SimDA: Simple Diffusion Adapter for Efficient Video Generation
T-GATE
Accelerating Text-to-Image Diffusion Model for Free
TFMQ-DM
[CVPR 2024] TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
zigma
The official implementation of "ZigMa: A DiT-Style Mamba-based Diffusion Model