| license: mit | |
| base_model: Qwen/Qwen3-VL-4B-Instruct | |
| library_name: peft | |
| pipeline_tag: image-text-to-text | |
| tags: | |
| - lora | |
| - peft | |
| - qwen3-vl | |
| - robotics | |
| - subgoal-prediction | |
| # hl-planner-simple-subgoal | |
| LoRA adapter on **Qwen3-VL-4B-Instruct** for robot subgoal prediction from | |
| setup video + task goal. | |
| - Base: `Qwen/Qwen3-VL-4B-Instruct` | |
| - Adapter: LoRA (~132 MB safetensors) | |
| - License: MIT | |
| ## Inference env vars (required) | |
| These MUST match training; setting them higher (or leaving the defaults) | |
| silently degrades quality. | |
| ```bash | |
| export IMAGE_MAX_TOKEN_NUM=128 | |
| export VIDEO_MAX_TOKEN_NUM=128 | |
| export FPS_MAX_FRAMES=10 | |
| ``` | |
| ## Use | |
| Load via `peft` on top of Qwen3-VL with the env vars above set BEFORE | |
| importing `swift.llm` / `transformers`. | |