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Add 32B config for SLURM #390

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Merged
merged 3 commits into from
Oct 13, 2025
Merged

Add 32B config for SLURM #390

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37b7a15
update config
allenwang28 Oct 13, 2025
56abc3c
fix
allenwang28 Oct 13, 2025
7decb30
fix spacing
allenwang28 Oct 13, 2025
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18 changes: 9 additions & 9 deletions apps/grpo/qwen3_32b.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -3,18 +3,18 @@
# NOTE - This has not been tested for correctness yet! All testing so far has been only for infrastructure stability

# Global configuration
group_size: 2
local_batch_size: 8 # per-device batch size
max_req_tokens: 512
max_res_tokens: 512
group_size: 16
local_batch_size: 32 # per-device batch size
max_req_tokens: 1024
max_res_tokens: 1024
model: "Qwen/Qwen3-32B"
off_by_n: 1 # Off by one by default

provisioner:
launcher: slurm

# Main loop configuration
rollout_threads: 1 # Recommended to set equal to policy.num_replicas
rollout_threads: 32 # make this 4x the number of policy replicas seems to work well

# Observability configuration
metric_logging:
Expand Down Expand Up @@ -69,8 +69,8 @@ trainer:
enable: false
parallelism:
data_parallel_replicate_degree: 1
data_parallel_shard_degree: -1
tensor_parallel_degree: 1
data_parallel_shard_degree: 1
tensor_parallel_degree: 8
pipeline_parallel_degree: 1
context_parallel_degree: 1
expert_parallel_degree: 1
Expand All @@ -90,7 +90,7 @@ replay_buffer:
batch_size: ${local_batch_size}
max_policy_age: ${off_by_n}
# dp_size: ${trainer.parallelism.data_parallel_shard_degree} # Must equal trainer DP degree
dp_size: 8
dp_size: 1

# Reference model configuration
ref_model:
Expand Down Expand Up @@ -119,7 +119,7 @@ ref_model:
services:
policy:
procs: ${policy.engine_args.tensor_parallel_size}
num_replicas: 1
num_replicas: 4
hosts: 1
with_gpus: true
mesh_name: policy
Expand Down
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