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Open-weight model

qwen3-4b-online-sft

by Jingwen Gu JingwenGu/qwen3-4b-online-sft

qwen3-4b-online-sft is an open-weight model from Jingwen Gu. It has 4B parameters. At 16-bit it needs about 9.7 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters4B
Context—
Weights—
License—
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve qwen3-4b-online-sft (4B 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 8.0 GB 9.7 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 4.0 GB 4.8 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 2.0 GB 2.4 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 Oct 19, 2026.

qwen3-4b-online-sft on every accelerator the SAVRN Index prices, at every precision

Model Card

Identity and Version

Repository
JingwenGu/qwen3-4b-online-sft
Publisher
Jingwen Gu
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
4B parameters
Languages
Not stated by the source
Revision
7144c5fa246354545a67e6f09ab1d129449d658f
First published
2026-10-18
Last updated
2026-10-19

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download from Jingwen Gu

Released by Jingwen Gu through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
16-bit8.0 GB
8-bit4.0 GB
4-bit2.0 GB

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

Questions About qwen3-4b-online-sft

How much GPU memory does qwen3-4b-online-sft need?

About 9.7 GB at 16-bit and 2.4 GB at 4-bit: the weights (4B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run qwen3-4b-online-sft 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.