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Sunday, 26 January 2025

Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens

GitHub Pages 1 year ago 45 ● 3 sources

Alibaba released open-source Qwen2.5-1M models, including 7B and 14B parameter versions that support context lengths up to 1 million tokens. The inference framework achieves 3.2x to 6.7x faster processing speeds on 1M-token sequences compared to baseline approaches, with the 14B model matching GPT-4o-mini performance on short texts while supporting eight times longer context. Developers can now deploy these models locally using the open-sourced vLLM-based framework, which requires 120GB VRAM for the 7B model and 320GB for the 14B model.

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Open Source Models Qwen

Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL!

GitHub Pages 1 year ago 36 ● 3 sources

Alibaba released Qwen2.5-VL, a vision-language model available in 3B, 7B, and 72B parameter sizes that can recognize objects, analyze documents and charts, process videos over 1 hour long, and function as a visual agent. The 7B model outperforms GPT-4o-mini on multiple tasks while the 72B model achieves competitive performance with much larger models like Llama-3-405B-Instruct. The model improves efficiency through a redesigned visual encoder with window attention and adds capabilities like structured output generation for financial documents and second-level event localization in videos.

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Agentic AI Vision-Language Models

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