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README.md
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@@ -28,4 +28,15 @@ Read more about how the model is trained and evaluted in our [technical report](
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```bash
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python -m sglang.launch_server --model-path RyanLi0802/Biomni-R0-Preview --port 30000 --host 0.0.0.0 --mem-fraction-static 0.8 --tp 2 --trust-remote-code --json-model-override-args '{"rope_scaling":{"rope_type":"yarn","factor":4.0,"original_max_position_embeddings":32768}, "max_position_embeddings": 131072}
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```
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Note, `rope_scaling` might degrade performance on tasks with shorter trajectories. Please tune the rope scaling factor according to your usage.
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```bash
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python -m sglang.launch_server --model-path RyanLi0802/Biomni-R0-Preview --port 30000 --host 0.0.0.0 --mem-fraction-static 0.8 --tp 2 --trust-remote-code --json-model-override-args '{"rope_scaling":{"rope_type":"yarn","factor":4.0,"original_max_position_embeddings":32768}, "max_position_embeddings": 131072}
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```
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Note, `rope_scaling` might degrade performance on tasks with shorter trajectories. Please tune the rope scaling factor according to your usage.
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# Citation
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```
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@misc{biomnir0,
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title = {Biomni-R0: Using RL to Hill-Climb Biomedical Reasoning Agents to Expert-Level},
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author = {Ryan Li and Kexin Huang and Shiyi Cao and Yuanhao Qu and Jure Leskovec},
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year = {2025},
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month = {September},
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note = {Technical Report}
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}
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```
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