Reinforcement Learning
Transformers
English
post-training
distillation
agentic-coding
composer-2.5
cursor
kimi-k2
grpo
dapo
diloco
openenv
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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
| { | |
| "total_recommendations": 29, | |
| "applied": [ | |
| "rec-1", | |
| "rec-2", | |
| "rec-3", | |
| "rec-4", | |
| "rec-5", | |
| "rec-6", | |
| "rec-7", | |
| "rec-8", | |
| "rec-9", | |
| "rec-10", | |
| "rec-11", | |
| "rec-12", | |
| "rec-13", | |
| "rec-14", | |
| "rec-29", | |
| "rec-15", | |
| "rec-16", | |
| "rec-17", | |
| "rec-18", | |
| "rec-19", | |
| "rec-20", | |
| "rec-21", | |
| "rec-22", | |
| "rec-23", | |
| "rec-24", | |
| "rec-25", | |
| "rec-26", | |
| "rec-27", | |
| "rec-28" | |
| ], | |
| "skipped": [], | |
| "edit_failures": [], | |
| "net_char_delta_actual": 77 | |
| } |