Resource Needed for verl RL(LoRA)

Since RL requires more resources compared to regular training, determining how much resources are needed to successfully run it before training is a relatively difficult task. To provide more people with reference points for resource selection when dealing with different models and tasks, this section is mainly dedicated to introducing the environmental requirements based on experiments we have conducted.

However, due to limited staff and equipment resources, we also hope for more contributions from the open-source community. When submitting a PR, it is necessary to provide a script to be added to the example/tuning scripts.

We need two types of scripts: one is the configuration that can run with the minimum resources(min), and the other is the configuration that runs with recommended resources(recommended). For the former, it can be understood as a script that can run after applying all memory optimization techniques (e.g., offload, gradient checkpointing). For the latter, it can be understood as a script that can run while avoiding operations that incur additional time overhead as much as possible (targetting best throughput).

When defining script names, please follow this format: [model]_[task]_[gpunums]_[device]_[train]_[infer].sh. This will effectively improve the script’s recognizability. You can place the script under the examples/tuning/ directory.

If you happen to have a configuration that has already been tested, we welcome you to submit a PR and include a screenshot from Wandb or other verifiable evidence.


0.5B ~~~

Tag

Model

Task

Resource

MaxBatch

Train

Infer

Link

Contributor

MIN

Qwen2.5-0.5B

GRPO-LoRA

1*H100

116

fsdp

vllm0.8.3

qwen2-0.5b_grpo-lora_1_h100_fsdp_vllm.sh

SimonHuang

1.5B ~~~

Tag

Model

Task

Resource

MaxBatch

Train

Infer

Link

Contributor

MIN

Qwen2.5-1.5B

GRPO-LoRA

1*H100

128

fsdp

vllm0.8.3

qwen2-1.5b_grpo-lora_1_h100_fsdp_vllm.sh

SimonHuang

3B

Tag

Model

Task

Resource

MaxBatch

Train

Infer

Link

Contributor

MIN

Qwen2.5-3B

GRPO-LoRA

1*H100

62

fsdp

vllm0.8.3

qwen2-3b_grpo-lora_1_h100_fsdp_vllm.sh

SimonHuang

7B

Tag

Model

Task

Resource

MaxBatch

Train

Infer

Link

Contributor

MIN

Qwen2-7B

GRPO

2*H800

fsdp

vllm0.8.2

qwen2-7b_grpo_2_h800_fsdp_vllm

Xiangyongan

MIN

Qwen2.5-7B

GRPO-LoRA

1*H100

16

fsdp

vllm0.8.3

qwen2-7b_grpo-lora_1_h100_fsdp_vllm.sh

SimonHuang

14B

Tag

Model

Task

Resource

MaxBatch

Train

Infer

Link

Contributor

MIN

Qwen2-14B

GRPO

4*H800

fsdp

vllm0.8.2

qwen2-14b_grpo_4_h800_fsdp_vllm

Xiangyongan

MIN

Qwen2.5-14B

GRPO-LoRA

2*H100

116

fsdp

vllm0.8.3

qwen2-14b_grpo-lora_2_h100_fsdp_vllm.sh

SimonHuang

32B

Tag

Model

Task

Resource

MaxBatch

Train

Infer

Link

Contributor

MIN

Qwen2-32B

GRPO

8*H20

megatron

vllm0.8.2

qwen2-32b_grpo_8_h20_megatron_vllm

Xiangyongan

MIN

Qwen2.5-32B

GRPO-LoRA

4*H100

180

fsdp

vllm0.8.3

qwen2-32b_grpo-lora_4_h100_fsdp_vllm.sh

SimonHuang

70B

Tag

Model

Task

Resource

MaxBatch

Train

Infer

Link

Contributor

MIN

Qwen2-70B

GRPO

32*H20

fsdp

vllm0.8.2

qwen2-70b_grpo_32_h20_fsdp_vllm

Xiangyongan

MIN

Qwen2-70B

GRPO

32*H800

fsdp

vllm0.8.3

qwen2-70b_grpo_32_h800_fsdp_vllm

Xiangyongan

MIN

Qwen2.5-72B

GRPO-LoRA

8*H100

176

fsdp

vllm0.8.3

qwen2-72b_grpo-lora_8_h100_fsdp_vllm.sh

SimonHuang

405B

tag

model

task

resource

MaxBatch

train

infer

link

671B

tag

model

task

resource

MaxBatch

train

infer

link