Paper page - Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
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Paper page - Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
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rasbt/llama-3.2-from-scratch · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
https://x.com/llamafactory_ai/status/1893879214727991504?t=0rz_iG3YO_ppFRatiDqh0A&s=09
Meta AI Releases the Video Joint Embedding Predictive Architecture (V-JEPA) Model: A Crucial Step in Advancing Machine Intelligence - MarkTechPost
Meta AI Releases the Video Joint Embedding Predictive Architecture (V-JEPA) Model: A Crucial Step in Advancing Machine Intelligence

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Paper page - Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
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SmolVLM2: Bringing Video Understanding to Every Device
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Magma: A Foundation Model for Multimodal AI Agents
Fine-Tuning Your First Large Language Model (LLM) with PyTorch and Hugging Face
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TGI Multi-LoRA: Deploy Once, Serve 30 Models
We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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Paper page - DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
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Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL! | Qwen
QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD We release Qwen2.5-VL, the new flagship vision-language model of Qwen and also a significan
Open-R1: a fully open reproduction of DeepSeek-R1
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
GitHub - DAMO-NLP-SG/VideoLLaMA3: Frontier Multimodal Foundation Models for Image and Video Understanding
Frontier Multimodal Foundation Models for Image and Video Understanding - DAMO-NLP-SG/VideoLLaMA3
Paper page - MinMo: A Multimodal Large Language Model for Seamless Voice Interaction
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Paper page - 1.58-bit FLUX
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Apollo: An Exploration of Video Understanding in Large Multimodal Models
Apollo: An Exploration of Video Understanding in Large Multimodal Models