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Open-weight model

efficientformer-classification-exp

by Kkowalczyk Kkowalczyk/efficientformer-classification-exp

efficientformer-classification-exp is an open-weight model from Kkowalczyk, released under BSD 3-Clause License. It has 16,576 parameters. At 16-bit it needs about 0 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters16,576
Context—
Weights—
Licensebsd-3-clause
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve efficientformer-classification-exp (16,576 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 0.0 GB 0.0 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 0.0 GB 0.0 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 0.0 GB 0.0 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 20, 2026.

efficientformer-classification-exp on every accelerator the SAVRN Index prices, at every precision

Model Card

Identity and Version

Repository
Kkowalczyk/efficientformer-classification-exp
Publisher
Kkowalczyk
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
16,576 parameters
Languages
Not stated by the source
Revision
26d02785db8357bc1b01147c39681719c99978e8
First published
2026-10-20
Last updated
2026-10-20

License and Download

License
bsd-3-clause
Access
Open weights, no gate
Download from Kkowalczyk

Released by Kkowalczyk through its official repository on Hugging Face. Read the license.

Memory Requirements

PrecisionWeights in memory
16-bit0.0 GB
8-bit0.0 GB
4-bit0.0 GB

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

Questions About efficientformer-classification-exp

How much GPU memory does efficientformer-classification-exp need?

About 0 GB at 16-bit and 0 GB at 4-bit: the weights (16,576 parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run efficientformer-classification-exp 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.

Can I use efficientformer-classification-exp commercially?

Yes. efficientformer-classification-exp is released under BSD 3-Clause License. The BSD 3-Clause License is permissive. It permits commercial use and redistribution with the copyright notice, and forbids using the authors' names to endorse derived products without permission.