model-compression-papers

Here are 5 public repositories matching this topic...

AI-Efficiency / Awesome-Efficient-Diffusion

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.

caching awesome awesome-list quantization diffusion awesome-lists efficient-inference diffusion-model video-generation world-models model-compression-papers distillation-model pruning-algorithms flow-matching diffusion-language-models flow-matching-models

Updated Sep 19, 2026

nbasyl / OFQ

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The official implementation of the ICML 2023 paper OFQ-ViT

icml model-compression model-compression-papers model-quantization vision-transformer vision-transformers icml2023 quantization-awar

Updated Oct 3, 2023
Python

Deexv / AWF

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High-performance LLM compression engine using SVD matrix decomposition, INT8 quantization, and output caching training acceleration.

transformers pytorch transformer quantization svd model-compression model-compression-papers quantization-algorithms svd-recommendation-algorithm quantization-algorithm llm ollama gguf llm-compression gguf-models gguf-quantization

Updated Sep 11, 2026
Python

shatealaboxiaowang / Model-Compression-Papers

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Papers for deep neural network compression and acceleration

model-compression-papers

Updated May 24, 2018

Hosein-Abdollahi / head-pruning

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From-scratch structured attention-head pruning — reproduces Michel et al. on GPT-2, shows where the method fails on a distilled model, and adds redundancy-scaling and layer-profile analyses.

machine-learning transformers attention pruning model-compression model-compression-papers gpt2

Updated Jul 26, 2026
Python

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