Run OpenApps evals against cluster-hosted Gemma-4 via SLURM + W&B - #66
Open
aaronsmulktis wants to merge 1 commit into
Open
Run OpenApps evals against cluster-hosted Gemma-4 via SLURM + W&B#66aaronsmulktis wants to merge 1 commit into
aaronsmulktis wants to merge 1 commit into
Conversation
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.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Add a one-command
sbatchpath 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 theopen_apps_aaronsmulktisproject.scripts/conduct_slurm.sh:sbatchwrapper aroundconduct.sh. Requests CPU resources (memorization account,h200_memorization_highqos), auto-discovers the node servinggoogle/gemma-4-E2B-iton :8000 (skippable viaVLLM_HOST), and runs the worker pool withagent.hostname=<node> use_wandb=True.config/mode/slurm_cluster.yaml:add slurm_account/slurm_qos, set a real partition default, pointlogs_dirat/checkpoint/memorization/$USER.config/config.yaml: W&B projectopen_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.