Qwen2.5-Omni-7B
Parameters
7B
Context length
32K
Chinese support
Supported
Reasoning ability
Qwen2.5-Omni-7B is an AI model published by 阿里巴巴, released on 2025-03-27, for Multimodal model, with 7B parameters, and 32K context length, requiring about 22.37GB storage, under the Apache 2.0 license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Qwen2.5-Omni-7B
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
32K tokens
Max output length
8K tokens
Model type
Multimodal model
Modality (in / out)
Text, Image, Audio, Video → Text, Audio
Release date
2025-03-27
Model file size
22.37GB
MoE architecture
No
Total params / Active params
7B / N/A
Knowledge cutoff
No data
Qwen2.5-Omni-7B
Open source & experience
Qwen2.5-Omni-7B
Official resources
DataLearnerAI blog
Qwen2.5-Omni-7B
API details
API speed
4/5
No public API pricing yet.
Qwen2.5-Omni-7B
Benchmark Results
No benchmark data to show.
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Qwen2.5-Omni-7B
Publisher
Qwen2.5-Omni-7B
Model Overview
Qwen2.5-Omni-7B is an AI model published by 阿里巴巴, released on 2025-03-27, for Multimodal model, with 7B parameters, and 32K context length, requiring about 22.37GB storage, under the Apache 2.0 license.
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