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Open-weight model · Any to any

Qwen2.5-Omni-3B

by Qwen Qwen/Qwen2.5-Omni-3B

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.

Parameters5.5B
Context
Weights12.0 GB
Licenseother
AccessOpen weights
Monthly Downloads324.2k

Runs On

What it takes to serve Qwen2.5-Omni-3B (5.5B 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 11.1 GB 13.3 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 5.5 GB 6.6 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 2.8 GB 3.3 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.

SAVRN's Notes on Qwen2.5-Omni-3B

We file this one under whole voice assistant in a single checkpoint. Qwen2.5-Omni-3B takes text, images, audio and video and answers in text and streamed speech. The 3B in the name undersells it: the file holds 5.5 billion parameters in bfloat16, 12 GB across 18 files. Memory in use is 13.3 GB at 16-bit, 6.6 GB at 8-bit and 3.3 GB at 4-bit, so even full precision fits on nearly any accelerator you already own. The cheapest rental we track is one MI300X at $1.85 an hour, which is paying for 192 GB to use 13.

Two things to settle first. The license is recorded as other with no summary, so put the publisher's terms in front of counsel before a commercial speech product. And no context length is on record, so measure how much audio or video one request holds before promising a session length. The weights date from April 30, 2025 with no update since; the paper is arXiv:2503.20215.

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-3B
Publisher
Qwen
Task
Any to any
Modality
Multimodal
Library
transformers
Parameters
5.5B parameters
Languages
en
Revision
f75b40e3da2003cdd6e1829b1f420ca70797c34e
First published
2025-04-30
Last updated
2025-04-30

Files and Weights

18 files, 12.0 GB in total. The weights are 4 files totalling 12.0 GB in pt, safetensors.

Weights4 files · 12.0 GB
Configuration7 files · 258.5 KB
Tokenizer4 files · 15.9 MB
Documentation2 files · 44.2 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
model-00001-of-00003.safetensorsWeights5.0 GB 349972cebff4
model-00002-of-00003.safetensorsWeights5.0 GB b29a76dfefb3
model-00003-of-00003.safetensorsWeights2.0 GB 8f2138170a87
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.jsonConfiguration241.8 KB
preprocessor_config.jsonConfiguration667 B
special_tokens_map.jsonConfiguration832 B
LICENSEDocumentation7.4 KB
README.mdDocumentation36.8 KB
.gitattributesRepository1.5 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
12.0 GB
Download from Qwen

Released by Qwen through ModelScope.

Built From

Memory Requirements

PrecisionWeights in memory
As published12.0 GB
16-bit11.1 GB
8-bit5.5 GB
4-bit2.8 GB

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

Compare Qwen2.5-Omni-3B

Questions About Qwen2.5-Omni-3B

How much GPU memory does Qwen2.5-Omni-3B need?

About 13.3 GB at 16-bit and 3.3 GB at 4-bit: the weights (5.5B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run Qwen2.5-Omni-3B 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-3B released under?

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

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