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
Commit History
-
Wave 1: fix 8 failing tests + unblock Docker E2E + dep/doc debt
Baladithya Balamurugan +1: Claude Opus 4.8 (1M context)Backlog-resolution Wave 1 (branch backlog/goal-resolution-2026-06). Bugs fixed: - B1 (P0): generate spikes/007 synthetic_session_with_error.jsonl fixture (never committed — .gitignore *.jsonl whitelisted the sibling but not this one) → the 8 failing test_trace_examples_adapter tests now pass. Added the missing .gitignore whitelist line. - B2 (P2): [dev] extra was un-installable on Apple Silicon (pulled Linux-only torchft-nightly). Dropped diloco from base [dev]; added [dev-full] for Linux. - B3 (P2): [serverless] extra now includes s3fs/boto3/kubernetes (needed for real S3 rendezvous + the EKSExecutor/SageMakerExecutor adapters). Newly unblocked: - D1 (…-245d): Docker substrate E2E — Docker now available on host; both gates (4-gate substrate inversion + cache-scrub-in-container) PASS. Long-standing "hardware-blocked" item closed. Doc/API debt: - B4: reconciled divergent test counts (115/176/210/232) to one canonical figure measured this session: 266 passed / 62 skipp…c11cf49