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[fix](README.md)
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CuriousVLA_data/QA_sft_navsim_train_cot_fte142k_baseline_norm.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd16d83591b76f0336c0ea0406527e77fd53e2ffc4047d315b649c92317139f8
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size 766543664
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README.md
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#
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2. golden data + qwen3vl ✅
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### SFT
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1. stage 2 model, which can train with GRPO directly.
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# Curious-VLA-dev
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This repository hosts the development release assets for Curious-VLA, including:
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- SFT training data
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- SFT-stage model weights
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For full documentation, environment setup, evaluation, SFT training, and GRPO training, please refer to the main project:
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- GitHub: https://github.com/Mashiroln/Curious-VLA
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## Recommended Usage
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- baseline data + Qwen2.5-VL
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- golden data + Qwen3-VL
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## Notes
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- The SFT-stage model can be used as the starting point for GRPO training in the main Curious-VLA project.
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- For RL training data, released token filters, and end-to-end scripts, see the main repository.
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