verl-mint¶
verl-mint is the open-source edition of the MinT training runtime, built on veRL and Ray. It exposes the MinT training workflow at the API boundary, so clients keep familiar session, checkpoint, sampler, and future semantics while moving execution onto their own GPUs, Ray or veRL cluster, and artifact storage.
The same SDK script that runs against the MinT SaaS runs unchanged against a local
verl-mint deployment.
Algorithms¶
| Algorithm | Status | Notes |
|---|---|---|
| SFT | Available | LoRA SFT, checkpoint save/load, resume, sampler handoff |
| GRPO | Available | Group Relative Policy Optimization; group-relative advantages without a value critic |
| DPO | Planned | Preference optimization track |
Supported models¶
| Family | Size | Status |
|---|---|---|
| Qwen | 0.6B | Available |
| Qwen | 4B | Available |
| Qwen | 30B | Available |
| Qwen | 8B | Planned |
Install¶
The smoke extra installs the official MinT SDK (mindlab-toolkit) from the
MindLab repository.
Prerequisites¶
verl-mint assumes the execution environment already exists; it does not provision
Ray, GPUs, or worker images.
| Prerequisite | Requirement |
|---|---|
| Ray | ray[default]>=2.46.0,<3 on the API node and every worker |
For the full setup guide, algorithm details, and cluster configuration, see the verl-mint repository.