Update README.md

README.md

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-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+base_model:
+- Qwen/Qwen3-1.7B
+- google/siglip2-so400m-patch14-384
+---
+
+# [Isaac-0.1 by Perceptron](https://www.perceptron.inc/blog/introducing-isaac-0-1)
+*Note this is the Post-trained model* [Try out the model on our playground](https://www.perceptron.inc/demo)
+
+We're introducing Isaac 0.1, our first perceptive-language model and a major step toward building AI systems that can understand and interact with the physical world. Isaac 0.1 is an open-source, 2B-parameter model built for real-world applications. It sets a new standard for efficiency, delivering capabilities that meet or exceed those of models over 50 times its size.
+
+Founded by the team behind Meta's Chameleon multimodal models, Perceptron is tackling a fundamental challenge: bringing the power of physical AI to the dynamic, multimodal, and real-time environments we live and work in.
+
+Isaac 0.1 is the first in our family of models built to be the intelligence layer for the physical world. It's now available open source for researchers and developers everywhere.
+
+## What’s new in Isaac 0.1
+**Visual QA, simply trained**
+Strong results on standard understanding benchmarks with a straightforward, reproducible training recipe.
+
+**Grounded spatial intelligence**
+Precise pointing and localization with robust spatial reasoning. Ask “what’s broken in this machine?” and get grounded answers with highlighted regions—handling occlusions, relationships, and object interactions.
+
+**In-context learning for perception**
+Show a few annotated examples (defects, safety conditions, etc.) in the prompt and the model adapts—no YOLO-style fine-tuning or custom detector stacks required.
+
+**OCR & fine-grained detail**
+Reads small text and dense scenes reliably, across resolutions, with dynamic image handling for tiny features and cluttered layouts.
+
+**Conversational Pointing**
+A new interaction pattern where language and vision stay in lockstep: every claim is grounded and visually cited, reducing hallucinations and making reasoning auditable.
+
+
+## Benchmarks
+
+![visual_qa](https://framerusercontent.com/images/WFsL5CWqxvsmJrlUuMXA5T8LdVY.png?width=2216&height=1610)
+![grounding](https://framerusercontent.com/images/2T1Th5SaXdYhNKyxzd2ge61diA.png?width=1736&height=1260)
+
+## Example 
+```bash
+pip install perceptron
+```
+
+[Huggingface Example Repo](https://github.com/perceptron-ai-inc/perceptron/tree/main/huggingface)