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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-
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---
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# MiniVLA
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@@ -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**
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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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