awesome-llama: https://github.com/CASIA-LMC-Lab/FLAP
aaai-2024 compression llama llm pruning pruning-algorithms structured-pruning vicuna
Score: 5.0369526024136295
Last synced: about 18 hours ago
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Repository metadata:
[AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
- Host: GitHub
- URL: https://github.com/CASIA-LMC-Lab/FLAP
- Owner: CASIA-LMC-Lab
- License: apache-2.0
- Created: 2023-12-18T06:28:41.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-06T13:17:44.000Z (about 2 years ago)
- Last Synced: 2026-01-23T09:04:05.056Z (18 days ago)
- Topics: aaai-2024, compression, llama, llm, pruning, pruning-algorithms, structured-pruning, vicuna
- Language: Python
- Homepage: https://arxiv.org/abs/2312.11983
- Size: 987 KB
- Stars: 68
- Watchers: 1
- Forks: 17
- Open Issues: 9
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Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: CASIA-LMC-Lab
- Login: CASIA-LMC-Lab
- Email:
- Kind: organization
- Description: Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences
- Website:
- Location: Beijing, China
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/68221713?v=4
- Repositories: 3
- Last Synced at: 2025-11-17T04:31:06.307Z
- Profile URL: https://github.com/CASIA-LMC-Lab
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Last Year
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Last synced: 21 days ago
Total Commits: 6
Total Committers: 2
Avg Commits per committer: 3.0
Development Distribution Score (DDS): 0.167
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| an-yongqi | y****n@n****n | 5 |
| ivaopenlab | 6****b | 1 |
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Last synced: 2 months ago
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Total pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
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