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…☆48Updated 2 years ago
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆51Updated 2 years ago
- A collection of research papers on efficient training of DNNs☆69Updated 3 years ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆109Updated 9 months ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 3 years ago
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- LLM Inference with Microscaling Format☆25Updated 8 months ago
- The official implementation of the DAC 2024 paper GQA-LUT☆20Updated 7 months ago
- ACL 2023☆39Updated 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…☆64Updated last year
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- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆57Updated 2 years ago
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- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
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- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆16Updated 6 months ago
- Torch2Chip (MLSys, 2024)☆53Updated 4 months ago
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- 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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- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆111Updated last month
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- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆13Updated 6 months ago
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- Post-training sparsity-aware quantization☆34Updated 2 years ago
- The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks☆21Updated 6 years ago