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Open-weight model · Any to any

Qwen2.5-Omni-7B

by Qwen Qwen/Qwen2.5-Omni-7B

Qwen2.5-Omni is an end-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner.

Parameters10.7B
Context
Weights22.4 GB
Licenseother
AccessOpen weights
Monthly Downloads347.6k

Runs On

What it takes to serve Qwen2.5-Omni-7B (10.7B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

PrecisionWeightsMemory neededCheapest setupPer hourAlso fits
16-bit 21.5 GB 25.8 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 10.7 GB 12.9 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 5.4 GB 6.4 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Sep 18, 2026.

Model Card

Qwen2.5-Omni is an end-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner. We conducted a comprehensive evaluation of Qwen2.5-Omni, which demonstrates strong performance across all modalities when compared to similarly sized single-modality models and closed-source models like Qwen2.5-VL-7B, Qwen2-Audio, and Gemini-1.5-pro. In tasks requiring the integration of multiple modalities, such as OmniBench, Qwen2.5-Omni achieves state-of-the-art performance. Furthermore, in single-modality tasks, it excels in areas including speech recognition (Common…

Excerpt from the card by Qwen, licensed other.

Configuration

Architecture
Qwen2_5OmniModel
Stored precision
bfloat16
Model type
qwen2_5_omni

Identity and Version

Repository
Qwen/Qwen2.5-Omni-7B
Publisher
Qwen
Task
Any to any
Modality
Multimodal
Library
transformers
Parameters
10.7B parameters
Languages
en
Revision
ae9e1690543ffd5c0221dc27f79834d0294cba00
First published
2025-03-22
Last updated
2025-04-30

Files and Weights

20 files, 22.4 GB in total. The weights are 6 files totalling 22.4 GB in pt, safetensors.

Weights6 files · 22.4 GB
Configuration7 files · 249.8 KB
Tokenizer4 files · 15.9 MB
Documentation2 files · 48.2 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
model-00001-of-00005.safetensorsWeights5.0 GB 5edb02fd7c98
model-00002-of-00005.safetensorsWeights5.0 GB 7c99b55c6e5b
model-00003-of-00005.safetensorsWeights5.0 GB ad00c3ac2963
model-00004-of-00005.safetensorsWeights5.0 GB 152bc7d81441
model-00005-of-00005.safetensorsWeights2.4 GB b8b18276481b
spk_dict.ptWeights259.5 KB 6a05609b28f5
added_tokens.jsonConfiguration579 B
chat_template.jsonConfiguration1.3 KB
config.jsonConfiguration13.2 KB
generation_config.jsonConfiguration74 B
model.safetensors.index.jsonConfiguration233.2 KB
preprocessor_config.jsonConfiguration667 B
special_tokens_map.jsonConfiguration832 B
LICENSEDocumentation11.3 KB
README.mdDocumentation36.8 KB
.gitattributesRepository1.6 KB
merges.txtTokenizer1.7 MB
tokenizer.jsonTokenizer11.4 MB 8441917e39ae
tokenizer_config.jsonTokenizer6.5 KB
vocab.jsonTokenizer2.8 MB

License and Download

License
other
Access
Open weights, no gate
Download size
22.4 GB
Download from Qwen

Released by Qwen through ModelScope. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published22.4 GB
16-bit21.5 GB
8-bit10.7 GB
4-bit5.4 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Compare Qwen2.5-Omni-7B

Questions About Qwen2.5-Omni-7B

How much GPU memory does Qwen2.5-Omni-7B need?

About 25.8 GB at 16-bit and 6.4 GB at 4-bit: the weights (10.7B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run Qwen2.5-Omni-7B on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

What license is Qwen2.5-Omni-7B released under?

other, as its publisher declares it. Read the license text before commercial use.

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