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Abdulrahman Al-Ghamdi

Abdu-GH

Abdulrahman078

AI & ML interests

me love NLP

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liked a Space 25 days ago

agents-course/unit_1_quiz

reacted to KaiChen1998's post with 🔥 25 days ago

📢 Our EMOVA paper has been accepted by CVPR 2025, and we are glad to release all resources, including code (training & inference), datasets (training & evaluation), and checkpoints (EMOVA-3B/7B/72B)! 🤗 EMOVA is a novel end-to-end omni-modal LLM that can see, hear and speak. Given omni-modal (i.e., textual, visual and speech) inputs, EMOVA can generate both textual and speech responses with vivid emotional controls by utilizing the speech decoder and a style controller. ✨ EMOVA Highlights ✅ State-of-the-art omni-modality: EMOVA achieves SoTA comparable results on both vision-language and speech benchmarks simultaneously. ✅ Device adaptation: our codebase supports training/inference on both NVIDIA GPUs (e.g., A800 & H20) and Ascend NPUs (e.g., 910B3)! ✅ Modular design: we integrate multiple implementations of vision encoder, vision projector, and language model, even including the most recent DeepSeekMoE-tiny! 🔥 You are all welcome to try and star! - Project page: https://emova-ollm.github.io/ - Github: https://github.com/emova-ollm/EMOVA - Demo: https://huggingface.co/spaces/Emova-ollm/EMOVA-demo

reacted to KaiChen1998's post with 👍 25 days ago

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Abdu-GH's activity

liked a Space 25 days ago

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Unit 1 Quiz - AI Agent Fundementals

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Test your knowledge of the Agent fundamentals.

reacted to KaiChen1998's post with 🔥👍 25 days ago

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📢 Our EMOVA paper has been accepted by CVPR 2025, and we are glad to release all resources, including code (training & inference), datasets (training & evaluation), and checkpoints (EMOVA-3B/7B/72B)!

🤗 EMOVA is a novel end-to-end omni-modal LLM that can see, hear and speak. Given omni-modal (i.e., textual, visual and speech) inputs, EMOVA can generate both textual and speech responses with vivid emotional controls by utilizing the speech decoder and a style controller.

✨ EMOVA Highlights
✅ State-of-the-art omni-modality: EMOVA achieves SoTA comparable results on both vision-language and speech benchmarks simultaneously.
✅ Device adaptation: our codebase supports training/inference on both NVIDIA GPUs (e.g., A800 & H20) and Ascend NPUs (e.g., 910B3)!
✅ Modular design: we integrate multiple implementations of vision encoder, vision projector, and language model, even including the most recent DeepSeekMoE-tiny!

🔥 You are all welcome to try and star!
- Project page: https://emova-ollm.github.io/
- Github: https://github.com/emova-ollm/EMOVA
- Demo: Emova-ollm/EMOVA-demo

reacted to hanzla's post with 👍 25 days ago

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3907

Hello community,

I want to share my work of creating a reasoning mamba model

I used GRPO over Falcon3 Mamba Instruct to make this model. It generates blazing fast response while building good logic to answer challenging questions.

Give it a try:

Model repo: hanzla/Falcon3-Mamba-R1-v0

Space: hanzla/Falcon3MambaReasoner

Looking forward to community feedback.