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@yyDing1 yyDing1 commented Oct 23, 2025

What does this PR do?

Deprecate legacy code for GRM as it's now supported in reward loop.

Future PR may further deprecate {fsdp/megatron}_reward_model by the following steps:

  1. support discriminative reward models in reward loop
  2. make the reward model & router arch stable for large-scale training
  3. refactor the config of reward models (in replace with the ones in recipe/fapo/config/rm_config.yaml)
  4. deprecate legacy {fsdp/megatron}_reward_models

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Code Review

This pull request deprecates and removes legacy code for the sglang-based Generative Reward Model (GRM), which is a positive step towards simplifying the codebase. The changes primarily involve deleting the RewardModelWorker and its related engine implementation. While the removal seems largely self-contained, I've identified a potential critical issue regarding a patch for the sglang library that is also being removed. This could affect other parts of the system that rely on sglang.

@vermouth1992 vermouth1992 merged commit 7fe074a into volcengine:main Oct 23, 2025
89 of 99 checks passed
sunnweiwei pushed a commit to sunnweiwei/verl that referenced this pull request Oct 23, 2025
### What does this PR do?

Deprecate legacy code for GRM as it's now supported in `reward loop`.

Future PR may further deprecate `{fsdp/megatron}_reward_model` by the
following steps:

1. support discriminative reward models in `reward loop`
2. make the reward model & router arch stable for large-scale training
3. refactor the config of reward models (in replace with the ones in
`recipe/fapo/config/rm_config.yaml`)
4. deprecate legacy `{fsdp/megatron}_reward_models`

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@yyDing1 yyDing1 deleted the deprecate-legacy-rm-ci branch October 25, 2025 13:31
wangboxiong320 pushed a commit to wangboxiong320/verl that referenced this pull request Nov 1, 2025
### What does this PR do?

Deprecate legacy code for GRM as it's now supported in `reward loop`.

Future PR may further deprecate `{fsdp/megatron}_reward_model` by the
following steps:

1. support discriminative reward models in `reward loop`
2. make the reward model & router arch stable for large-scale training
3. refactor the config of reward models (in replace with the ones in
`recipe/fapo/config/rm_config.yaml`)
4. deprecate legacy `{fsdp/megatron}_reward_models`

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NenoL2001 pushed a commit to NenoL2001/verl that referenced this pull request Nov 3, 2025
### What does this PR do?

Deprecate legacy code for GRM as it's now supported in `reward loop`.

Future PR may further deprecate `{fsdp/megatron}_reward_model` by the
following steps:

1. support discriminative reward models in `reward loop`
2. make the reward model & router arch stable for large-scale training
3. refactor the config of reward models (in replace with the ones in
`recipe/fapo/config/rm_config.yaml`)
4. deprecate legacy `{fsdp/megatron}_reward_models`

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chenjiaoAngel added a commit to chenjiaoAngel/verl that referenced this pull request Nov 14, 2025
### What does this PR do?

Deprecate legacy code for GRM as it's now supported in `reward loop`.

Future PR may further deprecate `{fsdp/megatron}_reward_model` by the
following steps:

1. support discriminative reward models in `reward loop`
2. make the reward model & router arch stable for large-scale training
3. refactor the config of reward models (in replace with the ones in
`recipe/fapo/config/rm_config.yaml`)
4. deprecate legacy `{fsdp/megatron}_reward_models`

### Checklist Before Starting

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leisuzz pushed a commit to leisuzz/verl that referenced this pull request Nov 18, 2025
### What does this PR do?

Deprecate legacy code for GRM as it's now supported in `reward loop`.

Future PR may further deprecate `{fsdp/megatron}_reward_model` by the
following steps:

1. support discriminative reward models in `reward loop`
2. make the reward model & router arch stable for large-scale training
3. refactor the config of reward models (in replace with the ones in
`recipe/fapo/config/rm_config.yaml`)
4. deprecate legacy `{fsdp/megatron}_reward_models`

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chenhaiq pushed a commit to The-Hierophant/verl-1 that referenced this pull request Nov 18, 2025
### What does this PR do?

Deprecate legacy code for GRM as it's now supported in `reward loop`.

Future PR may further deprecate `{fsdp/megatron}_reward_model` by the
following steps:

1. support discriminative reward models in `reward loop`
2. make the reward model & router arch stable for large-scale training
3. refactor the config of reward models (in replace with the ones in
`recipe/fapo/config/rm_config.yaml`)
4. deprecate legacy `{fsdp/megatron}_reward_models`

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NenoL2001 pushed a commit to NenoL2001/verl that referenced this pull request Nov 26, 2025
### What does this PR do?

Deprecate legacy code for GRM as it's now supported in `reward loop`.

Future PR may further deprecate `{fsdp/megatron}_reward_model` by the
following steps:

1. support discriminative reward models in `reward loop`
2. make the reward model & router arch stable for large-scale training
3. refactor the config of reward models (in replace with the ones in
`recipe/fapo/config/rm_config.yaml`)
4. deprecate legacy `{fsdp/megatron}_reward_models`

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albertimff pushed a commit to albertimff/verl that referenced this pull request Dec 1, 2025
### What does this PR do?

Deprecate legacy code for GRM as it's now supported in `reward loop`.

Future PR may further deprecate `{fsdp/megatron}_reward_model` by the
following steps:

1. support discriminative reward models in `reward loop`
2. make the reward model & router arch stable for large-scale training
3. refactor the config of reward models (in replace with the ones in
`recipe/fapo/config/rm_config.yaml`)
4. deprecate legacy `{fsdp/megatron}_reward_models`

### Checklist Before Starting

- [ ] Search for similar PRs. Paste at least one query link here: ...
- [ ] Format the PR title as `[{modules}] {type}: {description}` (This
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`trainer`, `ci`, `training_utils`, `recipe`, `hardware`, `deployment`,
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`env`, `tool`, `ckpt`, `doc`, `data`
- If this PR involves multiple modules, separate them with `,` like
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# Add code snippet or script demonstrating how to use this
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### Design & Code Changes

> Demonstrate the high-level design if this PR is complex, and list the
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### Checklist Before Submitting

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TimurTaepov pushed a commit to giorgossideris/verl that referenced this pull request Dec 20, 2025
### What does this PR do?

Deprecate legacy code for GRM as it's now supported in `reward loop`.

Future PR may further deprecate `{fsdp/megatron}_reward_model` by the
following steps:

1. support discriminative reward models in `reward loop`
2. make the reward model & router arch stable for large-scale training
3. refactor the config of reward models (in replace with the ones in
`recipe/fapo/config/rm_config.yaml`)
4. deprecate legacy `{fsdp/megatron}_reward_models`

### Checklist Before Starting

- [ ] Search for similar PRs. Paste at least one query link here: ...
- [ ] Format the PR title as `[{modules}] {type}: {description}` (This
will be checked by the CI)
- `{modules}` include `fsdp`, `megatron`, `sglang`, `vllm`, `rollout`,
`trainer`, `ci`, `training_utils`, `recipe`, `hardware`, `deployment`,
`ray`, `worker`, `single_controller`, `misc`, `perf`, `model`, `algo`,
`env`, `tool`, `ckpt`, `doc`, `data`
- If this PR involves multiple modules, separate them with `,` like
`[megatron, fsdp, doc]`
  - `{type}` is in `feat`, `fix`, `refactor`, `chore`, `test`
- If this PR breaks any API (CLI arguments, config, function signature,
etc.), add `[BREAKING]` to the beginning of the title.
  - Example: `[BREAKING][fsdp, megatron] feat: dynamic batching`

### Test

> For changes that can not be tested by CI (e.g., algorithm
implementation, new model support), validate by experiment(s) and show
results like training curve plots, evaluation results, etc.

### API and Usage Example

> Demonstrate how the API changes if any, and provide usage example(s)
if possible.

```python
# Add code snippet or script demonstrating how to use this
```

### Design & Code Changes

> Demonstrate the high-level design if this PR is complex, and list the
specific changes.

### Checklist Before Submitting

> [!IMPORTANT]
> Please check all the following items before requesting a review,
otherwise the reviewer might deprioritize this PR for review.

- [ ] Read the [Contribute
Guide](https://github.com/volcengine/verl/blob/main/CONTRIBUTING.md).
- [ ] Apply [pre-commit
checks](https://github.com/volcengine/verl/blob/main/CONTRIBUTING.md#code-linting-and-formatting):
`pre-commit install && pre-commit run --all-files --show-diff-on-failure
--color=always`
- [ ] Add / Update [the
documentation](https://github.com/volcengine/verl/tree/main/docs).
- [ ] Add unit or end-to-end test(s) to [the CI
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- [ ] Once your PR is ready for CI, send a message in [the `ci-request`
channel](https://verl-project.slack.com/archives/C091TCESWB1) in [the
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workspace](https://join.slack.com/t/verl-project/shared_invite/zt-3855yhg8g-CTkqXu~hKojPCmo7k_yXTQ).
(If not accessible, please try [the Feishu group
(飞书群)](https://applink.larkoffice.com/client/chat/chatter/add_by_link?link_token=772jd4f1-cd91-441e-a820-498c6614126a).)
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