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Top 17 Python model-compression Projects
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Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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Torch-Pruning
[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
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Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
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model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
TensorFlow Model Optimization Toolkit
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archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
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KVQuant
[NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
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only_train_once_personal_footprint
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
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EuLLM
Open-source platform for creating, distributing and running sovereign EU-compliant LLMs. Verticalize any model for your domain, language and brand. AI Act ready.
Project mention: Show HN: Replacing cloud LLM APIs with local, domain-specific models | news.ycombinator.com | 2026-03-25 -
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SatQuant
Fixing TFLite INT8 quantization for small objects in satellite imagery. A drop-in wrapper for focus-based calibration.
Project mention: SatQuant: Fix YOLOv8 quantization accuracy on satellite imagery (Edge TPU) | news.ycombinator.com | 2025-11-28 -
glq
E8 lattice codebook quantization for LLM weights — 2/3/4 bpw with fused Triton inference kernel
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Project mention: Show HN: Ported Cerebras Reap to MLX – Prune Moe Experts on a MacBook | news.ycombinator.com | 2026-06-01
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python model-compression discussion
Python model-compression related posts
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CVPR Edition: Voxel51 Filtered Views Newsletter - June 21, 2024
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Llama33B vs Falcon40B vs MPT30B
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[P] Help: I want to compress EfficientnetV2 using pruning.
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SqueezeLLM: Dense-and-Sparse Quantization
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New quantization method SqueezeLLM allows for loseless compression for 3-bit and outperforms GPTQ and AWQ in both 3-bit and 4-bit. Quantized Vicuna and LLaMA models have been released.
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Researchers From China Introduce Vision GNN (ViG): A Graph Neural Network For Computer Vision Systems
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GNN for computer vision, beating CNN & Transformer
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A note from our sponsor - SaaSHub
www.saashub.com | 10 Jun 2026
Index
What are some of the best open-source model-compression projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | Efficient-AI-Backbones | 4,417 |
| 2 | Torch-Pruning | 3,313 |
| 3 | Pretrained-Language-Model | 3,158 |
| 4 | model-optimization | 1,573 |
| 5 | DeepCache | 964 |
| 6 | SqueezeLLM | 718 |
| 7 | archai | 485 |
| 8 | KVQuant | 421 |
| 9 | q-diffusion | 370 |
| 10 | picollm | 311 |
| 11 | only_train_once_personal_footprint | 310 |
| 12 | SVD-LLM | 295 |
| 13 | EuLLM | 25 |
| 14 | MQAT | 6 |
| 15 | SatQuant | 3 |
| 16 | glq | 3 |
| 17 | reap-mlx | 0 |
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