by Qwen
The GME-Qwen2VL series is a unified multimodal Embedding model trained based on the Qwen2-VL multimodal large language model (MLLMs). The GME model supports three types of inputs: text, images, and image-text pairs. All these input types can generate universal vector representations and exhibit excellent retrieval performance.
The GME-Qwen2VL series is a unified multimodal Embedding model trained based on the Qwen2-VL multimodal large language model (MLLMs). The GME model supports three types of inputs: text, images, and image-text pairs. All these input types can generate universal vector representations and exhibit excellent retrieval performance.
On AIHubMix, gme-qwen2-vl-2b-instruct costs $0.14 per million input tokens and $0.14 per million output tokens.
gme-qwen2-vl-2b-instruct accepts text, image and video input.
gme-qwen2-vl-2b-instruct is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to gme-qwen2-vl-2b-instruct — no other code changes needed.
gme-qwen2-vl-2b-instruct is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use gme-qwen2-vl-2b-instruct via the AIHubMix unified API — one interface for every major LLM.