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Download README.md from osunlp/ACuRL_UI-TARS-1.5-7B_KAlgebra: direct link, hf CLI and curl.
- Browser
- Download file 315 Bytes
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https://huggingface.co/osunlp/ACuRL_UI-TARS-1.5-7B_KAlgebra/resolve/main/README.md
- Command line
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hf download hf://osunlp/ACuRL_UI-TARS-1.5-7B_KAlgebra/README.md
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curl -L -o README.md https://huggingface.co/osunlp/ACuRL_UI-TARS-1.5-7B_KAlgebra/resolve/main/README.md
315 Bytes
Our models are trained on top of the UI-TARS-1.5-7B model using ACuRL, an Autonomous Curriculum Reinforcement Learning framework that steers agents to continually learn in target environments with zero human data.
For more details, please refer to here