Name | starforce JSON |
Version |
1.1.6
JSON |
| download |
home_page | https://github.com/ |
Summary | None |
upload_time | 2025-07-10 09:15:21 |
maintainer | None |
docs_url | None |
author | Lucas Jin |
requires_python | >=3.10 |
license | None |
keywords |
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
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coveralls test coverage |
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# StarForce
Dual system training framework for robotics.
The overall structure borrowed from GR00T, with these modifications:
- Simplifer VLM model, introduced more advanced VLM and larger slow system;
- Connecting fast system without cross-attention, using text encoder instead;
## Slow thought system
will goes `starforce/model/backbone` contains various VLMs. Provides a unified interface connect with fast system (action expert)
## Fast action system
Currently support:
- DiT: diffusion transformer
- QwenFlow: flowmatching based action expert
## Env install
```
pip install -e .[base]
```
## Training
training scripts goes to `scripts/xxx.sh`
training fast system:
```
sh scripts/v0/sl_0.sh
```
training slow thinking system:
Raw data
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