inclusionAI / ASpec
A high-throughput training framework for Speculative decoding models.
Why this job: says: training framework
What it does
ASpec is a high-throughput training framework for speculative decoding draft models. It optimizes Draft forward, backward and optimizer execution, overlaps training with Target feature generation, and shares compatible Target features across independent experiments.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 49
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 5 merged
- 2 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
- Dockerfile <1%
Topics
- dflash
- dflash2
- dspark
- eagle3
- eagle4
- ling-3
- ling-3-flash
- mooncake
- sglang
- speculative-decoding
- llm
- pytorch
Project record
- JobFine-tuning
- StatusNew to our list
- Commits6
- Forks5
- Watching1
- CreatedNov 5, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026