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laion/a3-rl-DCAgent_mix_h4_binary_easy-50-8B
a3-rl-DCAgent_mix_h4_binary_easy-50-8B is a machine learning model from laion. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
RL (SkyRL) checkpoint trained on the DCAgent/mixh4binaryeasy task mix, starting from the a3 GLM-SFT base laion/GLM-47-swesmith-sandboxes-withtests-oracleverified120s-maxeps-131k-fixthink.
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From the Hugging Face model README
RL (SkyRL) checkpoint trained on the DCAgent/mix_h4_binary_easy task mix, starting from the a3 GLM-SFT base laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink.
a3-rl-DCAgent_mix_h4_binary_easy (Jupiter chain 573271→573276)max_steps=80 was a ceiling;
67 = epoch-data completion, a legit deployable endpoint — not collapse).reward/avg_raw_reward across the full chain.
avg_raw_reward at step 50 = 0.529hf_save_interval=5Training-time Daytona/Harbor rollouts for this run are uploaded as a companion dataset: open-athena/a3-rl-DCAgent_mix_h4_binary_easy
The dataset contains the last episode of each trial (per
make_and_upload_trace_dataset --episodes last) — the same rollouts
the policy was trained on after rollback / truncation.
See training_logs/ for the parsed metrics (metrics.csv, report.md,
reward_plot.png) and the raw chain .out logs (Jupiter has no W&B network access).