MODEL PROFILE

Aria

rhymes-ai · Aria

- **SoTA Multimodal Native Performance**: Aria achieves strong performance on a wide range of multimodal, language, and coding tasks. It is superior in video and document understanding. - **Lightweight and Fast**: Aria is a mixture-of-expert model with 3.9B activated parameters per token. It efficently encodes visual input of variable sizes and aspect ratios. - **Long Multimodal Context Window**: Aria supports multimodal input of up to 64K tokens. It can caption a 256-frame video in 10 seconds. Aria has 25.3B total parameters, it can be loaded in one A100 (80GB) GPU with bfloat16 precision. ----------- From transformers>=v4.48, you can also pass image url or local path to the conversation history, and let the chat template handle the rest. Chat template will load the image for you and return inputs in `torch.Tensor` which you can pass directly to `model.generate()`.

Visual QAmultimodallicense:apache-2.0
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/11/1 00:33:22
OVERVIEW

Model overview

- **SoTA Multimodal Native Performance**: Aria achieves strong performance on a wide range of multimodal, language, and coding tasks. It is superior in video and document understanding. - **Lightweight and Fast**: Aria is a mixture-of-expert model with 3.9B activated parameters per token. It efficently encodes visual input of variable sizes and aspect ratios. - **Long Multimodal Context Window**: Aria supports multimodal input of up to 64K tokens. It can caption a 256-frame video in 10 seconds. Aria has 25.3B total parameters, it can be loaded in one A100 (80GB) GPU with bfloat16 precision. ----------- From transformers>=v4.48, you can also pass image url or local path to the conversation history, and let the chat template handle the rest. Chat template will load the image for you and return inputs in `torch.Tensor` which you can pass directly to `model.generate()`.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。