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CuriousVLA_data/QA_sft_navsim_train_cot_fte142k_baseline_norm.json ADDED
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- # CuriousVLA_dev
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- > Uploading...
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- ## 1. Data
 
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- ### SFT
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- Recommendation:
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- 1. baseline data + qwen2.5vl ✅
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- 2. golden data + qwen3vl ✅
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- golden data + qwen2.5vl ❌
 
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- ## 2. Model
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-
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- ### SFT
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-
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- 1. stage 2 model, which can train with GRPO directly.
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-
 
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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.