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maya-multimodal/Qwen3.5-9B-aerialsim-rl-step100
Qwen3.5-9B-aerialsim-rl-step100 is a reinforcement learning model from maya-multimodal. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Qwen3.5-9B fine-tuned with GRPO on the aerialsim-env 17-family aerial safety scenario mix, trained via prime-rl on a 4x H100 pod. This is the step-100 checkpoint from run smoke17familyqwen359b4gpuwide2026-07-15.
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From the Hugging Face model README
Qwen3.5-9B fine-tuned with GRPO on the aerialsim-env 17-family aerial safety scenario mix, trained via prime-rl on a 4x H100 pod. This is the step-100 checkpoint from run smoke_17family_qwen35_9b_4gpu_wide_2026-07-15.
qwen3_5 arch)both (RGB frame + text scaffold with landing_zone_clear, obstacle_ahead, distance_to_goal, waypoints)Per-family deterministic (T=0, single decode) eval with scaffolded text state is pending; will be reported in the accompanying paper.
Research on visual-grounded aerial safety decisions and RL fine-tuning of multimodal LLMs on simulated aerial mission scenarios.
Nahid Alam (@nahidalam) — Maya Multimodal