gme-Qwen2-VL-7B
gme-Qwen2-VL-7B is an AI model published by Alibaba, released on 2024-12-24, for Embedding model, with 7B parameters, and 32K context length, requiring about 33.2 GB storage, with a 55.95 score on MMEB-v2-Image.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
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Benchmark Results
GME-Qwen2-VL-7B currently shows benchmark results led by MMEB-v2-Image (5 / 6, score 55.95). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Model Overview
gme-Qwen2-VL-7B is an AI model published by Alibaba, released on 2024-12-24, for Embedding model, with 7B parameters, and 32K context length, requiring about 33.2 GB storage, with a 55.95 score on MMEB-v2-Image.
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