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Change 32b config #364

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0bd842e
change 32b config
allenwang28 Oct 9, 2025
cb66e7d
group size 16
allenwang28 Oct 9, 2025
9ddbef1
increase rollout threads for 32b
allenwang28 Oct 9, 2025
5a3ef1d
Update apps/grpo/qwen3_32b.yaml
allenwang28 Oct 10, 2025
061dbdc
rollout loops
allenwang28 Oct 10, 2025
ed225df
merge
allenwang28 Oct 10, 2025
90542b0
all local_batch_size
allenwang28 Oct 10, 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
batch_size: 8
max_req_tokens: 512
max_res_tokens: 512
group_size: 16
batch_size: 32
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: 8
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I feel we could double this. I made rollout_threads to 4 with 1 policy replica. And the waiting for buffer time went from 300s to 60s.


# 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: ${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_config.tensor_parallel_size}
num_replicas: 1
num_replicas: 4
hosts: 1
with_gpus: true
ref_model:
Expand Down
20 changes: 10 additions & 10 deletions apps/mast/qwen3_32b_mast.yaml
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Expand Up @@ -2,18 +2,18 @@
# >>> python -m apps.mast.main --config apps/mast/qwen3_1_7b_mast.yaml

# Global configuration
group_size: 8
batch_size: 16
max_req_tokens: 512
max_res_tokens: 512
group_size: 16
batch_size: 32
max_req_tokens: 1024
max_res_tokens: 1024
model: "Qwen/Qwen3-32B"
off_by_n: 1 # Off by one by default
launcher: mast
job_name: forge-qwen3-32b
checkpoint_folder: /mnt/wsfuse/teamforge/forge_runs/

# Main loop configuration
rollout_threads: ${services.policy.num_replicas} # Recommended to set equal to policy.num_replicas
rollout_threads: 8

# Observability configuration
metric_logging:
Expand Down Expand Up @@ -71,8 +71,8 @@ trainer:
enable: false
parallelism:
data_parallel_replicate_degree: 1
data_parallel_shard_degree: 8
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 Down Expand Up @@ -129,13 +129,13 @@ ref_model:
services:
policy:
procs: ${policy.engine_config.tensor_parallel_size}
num_replicas: 2
num_replicas: 4
with_gpus: true
mesh_name: policy
hosts: 1
ref_model:
procs: 4
num_replicas: 2
procs: ${ref_model.parallelism.tensor_parallel_degree}
num_replicas: 1
with_gpus: true
mesh_name: ref_model
hosts: 1
Expand Down
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