hiyouga/EasyR1
EasyR1
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
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hiyouga
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EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework
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AI SafetyAWSC++DeepSeekDeepSpeedDockerFSDPForkedGPU / CUDAGRPOHuggingFaceLLM ServingLarge Language ModelsLlamaLoRA / PEFTMLflowMultimodal AIPyTorchPythonQwenRLHFReasoning ModelsReinforcement LearningResearch / PapersTRLTool UseTransformersTutorialWeights & BiasesvLLM
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Updated 2 months ago
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Observability & MonitoringPrimaryInference & ServingMLOps & InfrastructureCloud & PlatformsLearning ResourcesSecurity & SafetyFoundation ModelsAI AgentsModel TrainingSafety & AlignmentMultimodal AISearch & KnowledgeOther AI / ML
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Cost & EfficiencySafety & AlignmentUser ExperienceScale & ReliabilityData & EvaluationDeveloper Platform
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Python100.0%
Timeline
- Project created
- —
- Forked
- Apr 6, 2026
- Your last push
- 2 months ago
- Upstream last push
- 1 months ago
- Tracked since
- Mar 26, 2026
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