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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Codeseys/composer-replication-framework", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download docs/DEEP_WORK_LOOP_LOG.md from Codeseys/composer-replication-framework: direct link, hf CLI and curl.
- Browser
- Download file 465 Bytes
-
https://huggingface.co/Codeseys/composer-replication-framework/resolve/main/docs/DEEP_WORK_LOOP_LOG.md
- Command line
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hf download hf://Codeseys/composer-replication-framework/docs/DEEP_WORK_LOOP_LOG.md
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curl -L -o DEEP_WORK_LOOP_LOG.md https://huggingface.co/Codeseys/composer-replication-framework/resolve/main/docs/DEEP_WORK_LOOP_LOG.md
465 Bytes
Deep Work Loop Log — Composer 2.5 Replication Framework
📦 Archived (2026-06-08). This running log of the deep-work-loop sessions has been moved to
docs/_archive/DEEP_WORK_LOOP_LOG.md. It is preserved verbatim for provenance but is superseded by the currentdocs/METHODOLOGY.mdandBACKLOG.md. Seedocs/_archive/README.mdfor the archive index.