SqueezeAILab / open_source_projects
Open Source Projects from Pallas Lab
☆20Updated 3 years ago
Alternatives and similar repositories for open_source_projects:
Users that are interested in open_source_projects are comparing it to the libraries listed below
- ACL 2023☆38Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆47Updated last year
- LLM Inference with Microscaling Format☆16Updated 2 months ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆19Updated 2 years ago
- FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation☆46Updated 6 months ago
- Nsight Systems in Docker☆19Updated last year
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆16Updated 2 years ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆100Updated 3 months ago
- ☆27Updated 9 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆45Updated last year
- ☆12Updated 2 years ago
- A collection of research papers on efficient training of DNNs☆69Updated 2 years ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆27Updated 3 months ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆53Updated 10 months ago
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆25Updated last year
- PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation☆23Updated 2 months ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 4 months ago
- Repository for CPU Kernel Generation for LLM Inference☆25Updated last year
- ☆23Updated 2 months ago
- An algorithm for static activation quantization of LLMs☆107Updated this week
- ☆18Updated 2 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆22Updated 10 months ago
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆50Updated last year
- ☆20Updated 2 years ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆56Updated 10 months ago
- ☆131Updated last year
- Adaptive floating-point based numerical format for resilient deep learning☆14Updated 2 years ago
- Implementation of IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs (ICLR 2024).☆22Updated 7 months ago
- ☆56Updated 3 months ago