BMTrain
Enrichment pendingEfficient Training (including pre-training and fine-tuning) for Big Models
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Trust & integrity
Full report- Maintenance
- Very active (3d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Organization account
- As of today · Source: github_public_v1
- Security (OSV)
- No lockfile
- As of today · Source: none
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
Efficient Training (including pre-training and fine-tuning) for Big Models
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 11, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 11, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
- From pip (recommend) : ``pip install bmtrain``Source link
Tags
README
Installation
-
From pip (recommend) :
pip install bmtrain -
From source code: download the package and run
pip install .
Installing BMTrain may take a few to ten minutes, as it requires compiling the c/cuda source code at the time of installation. We recommend compiling BMTrain directly in the training environment to avoid potential problems caused by the different environments.
License
The package is released under the Apache 2.0 License.