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testdummyvt

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reacted to MonsterMMORPG's post with 🔥 3 days ago

I just pushed another amazing update to our Wan 2.1 APP. LoRA loading for 14B Wan 2.1 models were taking over 15 minutes. Optimized to take only few seconds now. Fully supports RTX 5000 series and fully optimized for both VRAM and RAM. Our APP here : https://www.patreon.com/posts/wan-2-1-ultra-as-123105403 Tutorial 1 : https://youtu.be/hnAhveNy-8s Tutorial 2 : https://youtu.be/ueMrzmbdWBg It is also pushed to the original repo you can see pull request here : https://github.com/modelscope/DiffSynth-Studio/pull/442

liked a Space 19 days ago

Wan-AI/Wan2.1

liked a model about 1 month ago

deepseek-ai/DeepSeek-R1

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reacted to MonsterMMORPG's post with 🔥 3 days ago

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I just pushed another amazing update to our Wan 2.1 APP. LoRA loading for 14B Wan 2.1 models were taking over 15 minutes. Optimized to take only few seconds now. Fully supports RTX 5000 series and fully optimized for both VRAM and RAM.

Our APP here : https://www.patreon.com/posts/wan-2-1-ultra-as-123105403

Tutorial 1 : https://youtu.be/hnAhveNy-8s

Tutorial 2 : https://youtu.be/ueMrzmbdWBg

It is also pushed to the original repo you can see pull request here : https://github.com/modelscope/DiffSynth-Studio/pull/442

liked a Space 19 days ago

1.21k

Wan2.1

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Wan: Open and Advanced Large-Scale Video Generative Models

liked a model about 1 month ago

deepseek-ai/DeepSeek-R1

Text Generation • Updated 20 days ago • 2.07M • • 11.4k

liked a Space about 1 month ago

101

Open VLM Video Leaderboard

🌎

VLMEvalKit Eval Results in video understanding benchmark

liked a model 2 months ago

openbmb/MiniCPM-o-2_6

Any-to-Any • Updated 13 days ago • 269k • 1.05k

liked a dataset 2 months ago

vikhyatk/openimages-human-labels

Viewer • Updated Jul 24, 2024 • 4.84M • 2.27k • 14

updated a model 3 months ago

testdummyvt/chpyolo11x_train

Updated Dec 15, 2024

updated a dataset 3 months ago

testdummyvt/cocohumanparts

Preview • Updated Dec 14, 2024 • 50

liked a dataset 3 months ago

fal/cosmos-imagenet

Updated Dec 24, 2024 • 245 • 10

reacted to singhsidhukuldeep's post with 👀 3 months ago

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Exciting breakthrough in multimodal search technology! @nvidia researchers have developed MM-Embed, a groundbreaking universal multimodal retrieval system that's changing how we think about search.

Key innovations:
• First-ever universal multimodal retriever that excels at both text and image searches across diverse tasks
• Leverages advanced multimodal LLMs to understand complex queries combining text and images
• Implements novel modality-aware hard negative mining to overcome modality bias issues
• Achieves state-of-the-art performance on M-BEIR benchmark while maintaining superior text retrieval capabilities

Under the hood:
The system uses a sophisticated bi-encoder architecture with LLaVa-Next (based on Mistral 7B) as its backbone. It employs a unique two-stage training approach: first with random negatives, then with carefully mined hard negatives to improve cross-modal understanding.

The real magic happens in the modality-aware negative mining, where the system learns to distinguish between incorrect modality matches and unsatisfactory information matches, ensuring retrieved results match both content and format requirements.

What sets it apart is its ability to handle diverse search scenarios - from simple text queries to complex combinations of images and text, all while maintaining high accuracy across different domains