SqueezeAILab / open_source_projectsLinks
Open Source Projects from Pallas Lab
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- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Updated 3 years ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆111Updated last year
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- A framework to compare low-bit integer and float-point formats☆46Updated last month
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- A collection of research papers on efficient training of DNNs☆70Updated 3 years ago
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆51Updated 2 years ago
- The official implementation of the DAC 2024 paper GQA-LUT☆20Updated 11 months ago
- LLM Inference with Microscaling Format☆33Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆49Updated 2 years ago
- Nsight Systems In Docker☆20Updated last year
- ACL 2023☆39Updated 2 years ago
- llama INT4 cuda inference with AWQ☆55Updated 10 months ago
- Torch2Chip (MLSys, 2024)☆55Updated 8 months ago
- PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.☆112Updated last year
- Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accele…☆10Updated last year
- HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference☆53Updated last year
- The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks☆21Updated 6 years ago
- FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation☆51Updated 3 months ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 3 years ago
- KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference☆24Updated 6 months ago
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- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆20Updated 10 months ago
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Updated last year
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- Adaptive floating-point based numerical format for resilient deep learning☆14Updated 3 years ago
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- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆27Updated 2 years ago
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