Initial release v1.2.0

README.md

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+---
+library_name: pytorch
+---
+
+![InternVL3.5logo](resource/InternVL3.5-1B.png)
+
+InternVL3.5 is a family of multimodal vision–language models developed to tightly integrate visual encoders with large language models for unified image–text understanding. The series focuses on strong multimodal reasoning, scalable model sizes, and efficient deployment across both cloud and edge AI scenarios.
+
+- **Original paper:**  https://arxiv.org/abs/2508.18265
+
+# InternVL3.5-1B
+
+InternVL3.5-1B is a compact variant designed for efficient multimodal reasoning with a small parameter footprint. It balances performance and latency, making it suitable for edge deployments such as visual assistants, document/image understanding, and edge vision-language AI systems.
+
+Model Configuration:
+- Reference implementation: [InternVL](https://github.com/OpenGVLab/InternVL)
+- Original Weight: [InternVL3.5-1B](https://huggingface.co/OpenGVLab/InternVL3_5-1B)
+- Resolution: 3x448x448
+- Support Cooper version:
+    - Cooper SDK: [2.5.3]
+    - Cooper Foundry: [2.2]
+
+| Model | Device | Model Link |
+| :-----: | :-----: | :-----: |
+| InternVL3.5-1B | CV72 | [Model_Link](https://huggingface.co/Ambarella/InternVL3.5/blob/main/cv72_internvl_3.5_1B.tar.gz) |
+| InternVL3.5-1B | CV75 | [Model_Link](https://huggingface.co/Ambarella/InternVL3.5/blob/main/cv75_internvl_3.5_1B.tar.gz) |

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