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Mahmoud Reda

Mahmoud3899
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upvoted an article 4 days ago
Arabic RAG Leaderboard: A Comprehensive Framework for Evaluating Arabic Language Retrieval Systems
reacted to AdinaY's post with 👍 29 days ago
MiniMax, the company behind Hailuo_AI, has joined the open source community by releasing both models and demos of MiniMax-Text-01 & MiniMax-VL-01🔥 - Model https://huggingface.co/MiniMaxAI/MiniMax-VL-01 https://huggingface.co/MiniMaxAI/MiniMax-Text-01 - Demo https://huggingface.co/spaces/MiniMaxAI/MiniMax-VL-01 https://huggingface.co/spaces/MiniMaxAI/MiniMax-Text-01 ✨ MiniMax-text-01: - 456B with 45.9B activated per token - Combines Lightning Attention, Softmax Attention, and MoE for optimal performance - Training context up to 1M tokens, inference handles 4M tokens ✨ MiniMax-VL-01: - ViT-MLP-LLM framework ( non-transformer👀) - Handles image inputs from 336×336 to 2016×2016 - 694M image-caption pairs + 512B tokens processed across 4 stages
reacted to AdinaY's post with 🤗 29 days ago
MiniMax, the company behind Hailuo_AI, has joined the open source community by releasing both models and demos of MiniMax-Text-01 & MiniMax-VL-01🔥 - Model https://huggingface.co/MiniMaxAI/MiniMax-VL-01 https://huggingface.co/MiniMaxAI/MiniMax-Text-01 - Demo https://huggingface.co/spaces/MiniMaxAI/MiniMax-VL-01 https://huggingface.co/spaces/MiniMaxAI/MiniMax-Text-01 ✨ MiniMax-text-01: - 456B with 45.9B activated per token - Combines Lightning Attention, Softmax Attention, and MoE for optimal performance - Training context up to 1M tokens, inference handles 4M tokens ✨ MiniMax-VL-01: - ViT-MLP-LLM framework ( non-transformer👀) - Handles image inputs from 336×336 to 2016×2016 - 694M image-caption pairs + 512B tokens processed across 4 stages
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Mahmoud3899's activity

upvoted an article 4 days ago
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Article

Arabic RAG Leaderboard: A Comprehensive Framework for Evaluating Arabic Language Retrieval Systems

By Navid-AI and 1 other •
• 11
reacted to AdinaY's post with 👍🤗🤝😎🚀👀❤️➕🧠🤯😔🔥 29 days ago
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MiniMax, the company behind Hailuo_AI, has joined the open source community by releasing both models and demos of MiniMax-Text-01 & MiniMax-VL-01🔥
- Model
MiniMaxAI/MiniMax-VL-01
MiniMaxAI/MiniMax-Text-01
- Demo
MiniMaxAI/MiniMax-VL-01
MiniMaxAI/MiniMax-Text-01

✨ MiniMax-text-01:
- 456B with 45.9B activated per token
- Combines Lightning Attention, Softmax Attention, and MoE for optimal performance
- Training context up to 1M tokens, inference handles 4M tokens

✨ MiniMax-VL-01:
- ViT-MLP-LLM framework ( non-transformer👀)
- Handles image inputs from 336×336 to 2016×2016
- 694M image-caption pairs + 512B tokens processed across 4 stages
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liked a model 3 months ago
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updated 4 models 4 months ago
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