LLM-VM vs AReaL
LLM-VM: The Anarchy LLM-VM is an optimized backend designed to run open-source LLMs with modern features like tool usage and persistent memory. It acts as a virtual machine for human language, coordinating models, data, prompts, and tools to optimize batch calls and support various architectures.; AReaL: AReaL is a fully asynchronous reinforcement learning system from Tsinghua IIIS and Ant Group for training large reasoning and agentic models. Version 2.0 splits it into training, inference, agent and weight-update microservices, and black-box agent apps can be trained online by pointing their base_url at AReaL.
TL;DR
Accelerate AGI development and prototyping
RL fine-tuning of reasoning models on math and coding tasks
Side-by-Side Comparison
LLM-VMAReaLFeatures
LLM-VMAReaLUse Cases
LLM-VMAReaLBest For
LLM-VMAReaLFAQ
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