SqueezeAILab / open_source_projectsLinks
Open Source Projects from Pallas Lab
☆20Updated 4 years ago
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- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆112Updated last year
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆51Updated 2 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Updated 3 years ago
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- LLM Inference with Microscaling Format☆34Updated last year
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- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Updated 2 years ago
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- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆68Updated last year
- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆20Updated last year
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Updated 4 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
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- Nsight Systems In Docker☆21Updated 2 years ago
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆175Updated this week
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Updated last year
- [ICML2025] KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference☆26Updated last week
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- llama INT4 cuda inference with AWQ☆55Updated last year
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- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆36Updated last year