{"version":"1.0","generated_at":"2026-09-29T18:33:29.956006","id":404,"slug":"vllm-v0-to-v1-correctness-before-corrections-in-rl","title":"趋势解读：vLLM V0 to V1，解读最新 AI 进展","summary":"vLLM V0到V1迁移中，PipelineRL推理引擎与训练器之间的logprob计算不一致导致训练偏差，通过修复probs处理、默认值、权重更新和fp32层后恢复对齐。","abstract":"趋势解读：vLLM V0 to V1，解读最新 AI 进展 vLLM V0到V1迁移中，PipelineRL推理引擎与训练器之间的logprob计算不一致导致训练偏差，通过修复probs处理、默认值、权重更新和fp32层后恢复对齐。 vLLM V0到V1迁移需消除训练-推理logprob不匹配 四项关键修复：logprobs、默认值、权重更新、fp32层 不匹配影响PPO/GRPO等在线RL训练的稳定性 迁移策略：先对齐后端行为，再优化RL目标 PipelineRL 使用 vLLM 作为推出生成的推理引擎。推理引擎对 token 进行采样并返回 token logprobs；训练器使用这些对数概率来计算策略比率、KL、剪辑率、熵和奖励。这些对数概率计算方式的任何差异都可能改变训练动态。这是我们在 vLLM V0 到 V1 迁移过程中需要消除的训练推理不匹配。 TL；博士。在我们修复了四件事后，vLLM V1 与我们的 vLLM V0 参考相匹配：处理后的推出日志概率、V1 特定的运行时默认值、飞行中权重更新路径以及用于最终投影的 fp32 lm_head。我们在更改 RL 目标之前修复了后端行为。参考运行使用vLLM 0.8.5； V1 运行使用 vLLM 0.18.1 。图 1 显示了最终结果。红色运行是初始 V1 尝试，绿色运行是进行下述修复后的最终 V1 运行。 vLLM V1 是对 V0 引擎的实质性重写。因此，我们的迁移目标故意缩小：验证 V1 是否以培训师预期的形式返回推出日志概率，根据 V0 参考重新运行相同的工作负载，仅在恢复后端奇偶校验后评估目标级别的更改这…","access_level":"public","access_label":"公开","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/404/vllm-v0-to-v1-correctness-before-corrections-in-rl","html_url":"https://opc.beizhux.com/content/404/vllm-v0-to-v1-correctness-before-corrections-in-rl","json_url":"https://opc.beizhux.com/content/404/vllm-v0-to-v1-correctness-before-corrections-in-rl.json","published_at":"2026-05-07T03:06:55","updated_at":"2026-09-29T18:06:17","category":{"slug":"hotspots","name":"全球热点解读"},"source":{"site":"huggingface.co","author":"Hugging Face Blog","url":"https://huggingface.co/blog/ServiceNow-AI/correctness-before-corrections"},"tags":["AI","Hugging Face 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