laion/a3-rl-laion_nemotron-gym-agent-calendar-80-8B

🤗 Hugging Face sourcereinforcement-learningapache-2.08.2B params16 GBsafetensors✓ 9 checksumsupdated today

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a3-rl-laion_nemotron-gym-agent-calendar (step 80, 8B)

RL-trained (SkyRL) agent checkpoint, selected by 5-period EMA (alpha=1/3) of reward/avg_raw_reward across all 80 steps of the training chain.

Selected checkpoint: global_step_80 (EMA = 0.9785, raw reward at step = 0.9727)
Final-step metrics: reward/avg_pass_at_8 = 1.0, reached max_steps = 80/80 (clean exit-0 completion)
Base model: laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink (Qwen3-8B architecture)
Training dataset: laion/nemotron-gym-agent-calendar
Training type: RL (SkyRL)

The launch RL config is included as rl_config.yaml. Parsed training metrics, plots, and raw logs are under training_logs/.

Training Traces

Training-time Daytona/Harbor rollouts for this run are uploaded as a companion dataset: open-athena/a3-rl-laion_nemotron-gym-agent-calendar

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.