Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask
Summary: Exhaustive analysis of pre-trained model file compressibility across granularity levels, showing general-purpose compressors fail to exploit PTM-specific patterns. Propose Elf, an error-bounded float transform that removes shared exponents, and Elves framework; achieves 1.52× compression (~1.3× vs zstd/SZ3/quant) with negligible accuracy loss. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhaoyuan Su (University of Virginia)
- 2. Ammar Ahmed (University of Minnesota)
- 3. Zirui Wang (University of Virginia)
- 4. Ali Anwar (University of Minnesota)
- 5. Yue Cheng (University of Virginia)
BibTeX Citation
@article{su_vldb24,
title = {{Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask}},
author = {Su, Zhaoyuan and Ahmed, Ammar and Wang, Zirui and Anwar, Ali and Cheng, Yue},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {8},
pages = {2036--2049},
doi = {10.14778/3659437.3659456},
url = {https://doi.org/10.14778/3659437.3659456},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,385 | NeurDB: On the Design and Implementation of an AI-powered Autonomous Database | 2025 | CIDR | 5.3420959e-05 |
| 10,080 | LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics | 2025 | VLDB | 5.0830849e-05 |
| 10,582 | NeurStore: Efficient In-database Deep Learning Model Management System | 2026 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 148 | Gorilla: A Fast, Scalable, In-Memory Time Series Database | 2015 | VLDB | 0.0002900671 |
| 1,347 | Chimp: Efficient Lossless Floating Point Compression for Time Series Databases | 2022 | VLDB | 0.00010950342 |
| 1,973 | Decomposed Bounded Floats for Fast Compression and Queries | 2021 | VLDB | 9.2834606e-05 |
| 2,314 | BtrBlocks: Efficient Columnar Compression for Data Lakes | 2023 | SIGMOD | 8.6533171e-05 |
| 5,105 | Online Deduplication for Databases | 2017 | SIGMOD | 6.2713269e-05 |
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