Efficient Intelligence and Systems (EIS) Lab
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Awesome-Model-Quantization
Awesome-Model-Quantization PublicA curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and effici…
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Awesome-Efficient-Diffusion
Awesome-Efficient-Diffusion PublicA curated list of papers and code on efficient diffusion models for image, video, world modeling, and language generation. Covering acceleration, quantization, compression, caching, and distillation.
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Repositories
- Qwen3-Quantization-Toolkit Public
- QuantSRv2 Public
[TPAMI 2026] This project is the implementation of our paper QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks.
- BiBench Public
[ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.
- BiBERT Public
This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.
- IR-QLoRA Public
[ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
- Awesome-Efficient-Diffusion Public
A curated list of papers and code on efficient diffusion models for image, video, world modeling, and language generation. Covering acceleration, quantization, compression, caching, and distillation.
- Awesome-Model-Quantization Public
A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and efficient deployment.
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