moondream/gsm8k
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err805
updated a
dataset 10 days ago
err805
published a
dataset 10 days ago
vikhyatk
updated a
model 19 days ago
vikhyatk
published a
model 19 days ago
Always output inaccurate results
2
#34 opened about 2 months ago
by 
Gureumi
Fix runtime buffers after load
#37 opened 28 days ago
by 
err805
Fix runtime buffers after load
1
#36 opened 28 days ago
by err805
Fix runtime buffers after load
#37 opened 28 days ago
by err805
Fix runtime buffers after load
1
#35 opened 28 days ago
by err805
err805
updated a
model 28 days ago
err805
updated a
dataset about 1 month ago
err805
published a
dataset about 1 month ago
err805
authored a
paper about 1 month ago
Post
4964
Announcing RefCOCO-M, a refreshed RefCOCO with pixel-accurate masks and the problematic prompts removed.
moondream/refcoco-m
moondream/refcoco-m
Post
5988
Just released a preview of Moondream 3! moondream/moondream3-preview
This is a 9B parameter, 2B active MoE VLM with state of the art visual reasoning capabilities.
More details in the release blog post: https://moondream.ai/blog/moondream-3-preview
This is a 9B parameter, 2B active MoE VLM with state of the art visual reasoning capabilities.
More details in the release blog post: https://moondream.ai/blog/moondream-3-preview
- 3 replies
Post
6233
🚨 New VQA + captioning dataset! moondream/megalith-mdqa
Images from Megalith, captioned using Moondream, then transformed to short-form QA.
9M+ images, 6-10 QA pairs per image.
Images from Megalith, captioned using Moondream, then transformed to short-form QA.
9M+ images, 6-10 QA pairs per image.
Post
6955
Just released a dataset with 7000+ hours of synthetically generated lo-fi music. vikhyatk/lofi
Post
6895
Pushed a new update to vikhyatk/moondream2 today. TextVQA up from 60.2 to 65.2, DocVQA up from 61.9 to 70.5.
Space has been updated to the new model if you want to try it out! vikhyatk/moondream2
Space has been updated to the new model if you want to try it out! vikhyatk/moondream2
Post
3403
🚀 Exciting news! We've just launched "Thundermoon" - the latest version of Moondream, our open-source vision language model! 🌙
Key improvements in this release:
1. Massive leap in OCR capabilities
2. Enhanced document understanding
3. Significant boosts across key metrics:
* DocVQA: 61.9 (↑103%)
* TextVQA: 60.2 (↑5.2%)
* GQA: 64.9 (↑2.9%)
What does this mean? Moondream can now tackle complex document analysis tasks with unprecedented accuracy for a model of its size. From deciphering handwritten notes to interpreting data tables, the applications are vast.
Check out the image for a glimpse of Moondream in action, effortlessly extracting insights from a 1944 sugar industry document!
Why it matters:
* Democratizing AI: As an open-source project, we're making advanced vision AI accessible to all developers.
* Efficiency: Proving that smaller models can deliver big results.
* Real-world impact: From historical document analysis to modern business intelligence, the potential use cases are exciting.
Curious to try it out? Try out the live demo here! https://moondream.ai/playground
Key improvements in this release:
1. Massive leap in OCR capabilities
2. Enhanced document understanding
3. Significant boosts across key metrics:
* DocVQA: 61.9 (↑103%)
* TextVQA: 60.2 (↑5.2%)
* GQA: 64.9 (↑2.9%)
What does this mean? Moondream can now tackle complex document analysis tasks with unprecedented accuracy for a model of its size. From deciphering handwritten notes to interpreting data tables, the applications are vast.
Check out the image for a glimpse of Moondream in action, effortlessly extracting insights from a 1944 sugar industry document!
Why it matters:
* Democratizing AI: As an open-source project, we're making advanced vision AI accessible to all developers.
* Efficiency: Proving that smaller models can deliver big results.
* Real-world impact: From historical document analysis to modern business intelligence, the potential use cases are exciting.
Curious to try it out? Try out the live demo here! https://moondream.ai/playground
- 4 replies
Post
3809
Disappointed that Golden Gate Claude couldn't process images? Want to learn how to use activation vectors to steer VLMs?
Try out the vikhyatk/contemplative-moondream space, and check out the notebook I released showing how to obtain control vectors! ⬇️
https://github.com/vikhyat/moondream/blob/main/notebooks/RepEng.ipynb
Try out the vikhyatk/contemplative-moondream space, and check out the notebook I released showing how to obtain control vectors! ⬇️
https://github.com/vikhyat/moondream/blob/main/notebooks/RepEng.ipynb