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Update README.md

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  1. README.md +14 -3
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@@ -7,7 +7,7 @@ Moondream is a small vision language model designed to run efficiently on edge d
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  [Website](https://moondream.ai/) / [Demo](https://moondream.ai/playground) / [GitHub](https://github.com/vikhyat/moondream)
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- This repository contains the latest (**2025-01-09**) release of Moondream, as well as [historical releases](https://huggingface.co/vikhyatk/moondream2/blob/main/versions.txt). The model is updated frequently, so we recommend specifying a revision as shown below if you're using it in a production application.
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  **Usage**
@@ -18,7 +18,7 @@ from PIL import Image
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  model = AutoModelForCausalLM.from_pretrained(
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  "vikhyatk/moondream2",
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- revision="2025-01-09",
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  trust_remote_code=True,
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  # Uncomment to run on GPU.
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  # device_map={"": "cuda"}
@@ -47,4 +47,15 @@ print(f"Found {len(objects)} face(s)")
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  print("\nPointing: 'person'")
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  points = model.point(image, "person")["points"]
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  print(f"Found {len(points)} person(s)")
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
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  [Website](https://moondream.ai/) / [Demo](https://moondream.ai/playground) / [GitHub](https://github.com/vikhyat/moondream)
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+ This repository contains the latest (**2025-03-27**) release of Moondream, as well as [historical releases](https://huggingface.co/vikhyatk/moondream2/blob/main/versions.txt). The model is updated frequently, so we recommend specifying a revision as shown below if you're using it in a production application.
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  **Usage**
 
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  model = AutoModelForCausalLM.from_pretrained(
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  "vikhyatk/moondream2",
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+ revision="2025-03-27",
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  trust_remote_code=True,
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  # Uncomment to run on GPU.
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  # device_map={"": "cuda"}
 
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  print("\nPointing: 'person'")
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  points = model.point(image, "person")["points"]
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  print(f"Found {len(points)} person(s)")
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+ ```
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+
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+ **Changelog**
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+
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+ **2025-03-27**
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+
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+ 1. Added support for long-form captioning.
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+ 2. Improved counting accuracy (e.g. CountBenchQA increased from 80 to 86.4)
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+ 3. Improved text understanding (e.g. OCRBench increased from 58.3 to 61.2)
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+ 4. Improved object detection, especially for small objects
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+ 5. Fixed token streaming bug affecting multi-byte unicode characters
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+ 6. gpt-fast style `compile()` now supported in HF Transformers implementation