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Run OpenApps evals against cluster-hosted Gemma-4 via SLURM + W&B - #66

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Run OpenApps evals against cluster-hosted Gemma-4 via SLURM + W&B#66
aaronsmulktis wants to merge 1 commit into
facebookresearch:mainfrom
aaronsmulktis:aaronsmulktis/gemma-eval

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Add a one-command sbatch path to run the agent eval on the FAIR cluster, co-located with vLLM (in my login node) so the agent reaches Gemma over the internal network (no SSH tunnel), and logs to the Meta-internal W&B in the open_apps_aaronsmulktis project.

  • scripts/conduct_slurm.sh: sbatch wrapper around conduct.sh. Requests CPU resources (memorization account, h200_memorization_high qos), auto-discovers the node serving google/gemma-4-E2B-it on :8000 (skippable via VLLM_HOST), and runs the worker pool with agent.hostname=<node> use_wandb=True.
  • config/mode/slurm_cluster.yaml: add slurm_account/slurm_qos, set a real partition default, point logs_dir at /checkpoint/memorization/$USER.
  • config/config.yaml: W&B project open_apps_aaronsmulktis; add group/job_type.
  • src/open_apps/launcher.py: descriptive W&B run names, per-run success/ cum_reward summary metrics, and fix a webapp-log PIPE deadlock.
  • config/agent/gemma-4-e2b-it.yaml: vLLM client config for Gemma-4.
  • docs/agents.md: "Running Evals on the Cluster" section (two-job model, discovery, VLLM_HOST override, srun --overlap fallback).
  • scripts/conduct.sh, docs/notes-aaron.md: bring along local working files.

Add a one-command sbatch path to run the agent eval on the FAIR cluster,
co-located with vLLM so the agent reaches Gemma over the internal network
(no SSH tunnel), and logs to the Meta-internal W&B.

- scripts/conduct_slurm.sh: sbatch wrapper around conduct.sh. Requests CPU
  resources (memorization account, h200_memorization_high qos), auto-discovers
  the node serving google/gemma-4-E2B-it on :8000 (skippable via VLLM_HOST),
  and runs the worker pool with agent.hostname=<node> use_wandb=True.
- config/mode/slurm_cluster.yaml: add slurm_account/slurm_qos, set a real
  partition default, point logs_dir at /checkpoint/memorization/$USER.
- config/config.yaml: W&B project open_apps_aaronsmulktis; add group/job_type.
- src/open_apps/launcher.py: descriptive W&B run names, per-run success/
  cum_reward summary metrics, and fix a webapp-log PIPE deadlock.
- config/agent/gemma-4-e2b-it.yaml: vLLM client config for Gemma-4.
- docs/agents.md: "Running Evals on the Cluster" section (two-job model,
  discovery, VLLM_HOST override, srun --overlap fallback).
- scripts/conduct.sh, docs/notes-aaron.md: bring along local working files.
@meta-cla meta-cla Bot added the CLA Signed This label is managed by the Meta Open Source bot. label Aug 1, 2026
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