Functional features of Open-Reasoner-Zero
Open-Reasoner-Zero is an open source reinforcement learning training platform designed to accelerate general artificial intelligence (AGI) research. Developed by the Open-Reasoner-Zero team on GitHub, the project is available under the MIT open source license, which allows users to use and modify it freely.
The core value of the platform is reflected in its integration of several advanced technologies:
- Based on Qwen 2.5 large model (7B and 32B parameter versions)
- Integration of OpenRLHF, vLLM, DeepSpeed and Ray technology stacks
- Full source code, training data and model weights available
The platform demonstrates amazing efficiency in resource utilization, requiring only 1/30th of the training steps of DeepSeek-R1-Zero to achieve a similar level of performance, making it particularly suitable for exploratory research in the field of AGI.
This answer comes from the articleOpen-Reasoner-Zero: Open Source Large-Scale Reasoning Reinforcement Learning Training PlatformThe
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