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Codeseys
/
composer-replication-framework

Reinforcement Learning
Transformers
English
post-training
distillation
agentic-coding
composer-2.5
cursor
kimi-k2
grpo
dapo
diloco
openenv
trl
verl
research
methodology
Model card Files Files and versions
xet
Community

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
composer-replication-framework / composer_replication /diloco /serverless
67.7 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
Codeseys's picture
Codeseys
Wave 18: 14 backlog items closed + 3-reviewer cross-family review
54efac8 12 days ago
  • tests
    Wave 18: 14 backlog items closed + 3-reviewer cross-family review 12 days ago
  • __init__.py
    2.84 kB
    Wave 17: close all 5 audit FLAGs + SDPO context alignment + serverless re-exports 12 days ago
  • allreduce.py
    13.4 kB
    Wave 14: close every Wave 13 review finding + 4 documentation files; Wave 14b: real PRIME-RL parity + multi-process DiLoCo convergence 12 days ago
  • executor.py
    11.7 kB
    Wave 13: serverless DiLoCo + replaysim normalization + 3 distillation losses + PRIME-RL + Monarch 12 days ago
  • hf_jobs.py
    3.2 kB
    Wave 13: serverless DiLoCo + replaysim normalization + 3 distillation losses + PRIME-RL + Monarch 12 days ago
  • modal.py
    3.61 kB
    Wave 13: serverless DiLoCo + replaysim normalization + 3 distillation losses + PRIME-RL + Monarch 12 days ago
  • replica_entrypoint.py
    3.48 kB
    Wave 13: serverless DiLoCo + replaysim normalization + 3 distillation losses + PRIME-RL + Monarch 12 days ago