facebookresearch / LayerSkip
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
Why this job: matched by what the repo talks about: inference, decod, speculative, self
What it does
In order to observe speedup, you need to access LLMs that have been trained using the LayerSkip recipe. We provide 6 checkpoints on HuggingFace of different Llama models continually pretrained using the LayerSkip recipe:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 380
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 59% closed
- 7 still open
- Pull requests
- 14 merged
- 6 waiting
- Releases
- None
- Never published
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More: languages, topics and project record
Languages
- Python 98%
- Dockerfile 2%
- Shell <1%
Topics
- llm
- optimization
- transformers
- early-exit
- layer-drop
- speculative-decoding
Project record
- JobLocal LLMs
- StatusListed
- Commits54
- Forks47
- Watching10
- Stars in 28 days+3
- CreatedFeb 26, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026