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Update README.md

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@@ -11,7 +11,7 @@ base_model: Stanford-ILIAD/minivla-vq-libero90-prismatic
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  library_name: transformers
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  datasets:
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  - LIBERO
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- pipeline_tag: text-to-action
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  ---
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  # MiniVLA
@@ -122,7 +122,8 @@ generated_actions = response.json()
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  - Exported the **vision encoder** to TensorRT, reducing perception latency and GPU memory usage.
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  - Integrated **Qwen 2.5 0.5B** in Hugging Face and TensorRT-LLM formats.
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  - Designed a **modular system architecture** with router & fallback for robustness.
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- - Demonstrated efficient **edge-side VLA inference** on Jetson Orin Nano in LIBERO tasks.
 
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  ---
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  library_name: transformers
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  datasets:
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  - LIBERO
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+ pipeline_tag: image-text-to-text
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  ---
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  # MiniVLA
 
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  - Exported the **vision encoder** to TensorRT, reducing perception latency and GPU memory usage.
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  - Integrated **Qwen 2.5 0.5B** in Hugging Face and TensorRT-LLM formats.
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  - Designed a **modular system architecture** with router & fallback for robustness.
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+ - Demonstrated efficient **edge-side VLA inference**
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+ on Jetson Orin Nano in LIBERO tasks.
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  ---
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