Reinforcement Learning
Transformers
English
post-training
distillation
agentic-coding
composer-2.5
cursor
kimi-k2
grpo
dapo
diloco
openenv
trl
verl
research
methodology
Instructions to use Codeseys/composer-replication-framework with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Codeseys/composer-replication-framework with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Codeseys/composer-replication-framework", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
feat(wave-b): ADR-013 LMA integration + B4 end-to-end SDPO-fires proof + doc refresh 21647a4
Wave 12: close V1-V8 brief — GPU smoke, SDPO firing, real-trace e2e d88715c
Wave 11: cross-model adversarial review + honest down-revision f16fa23
Wave 6: vision validation self-audit (5/10 to 9/10 in 5 days, no GPU) 040eff8
baladithyab commited on