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Open-weight model

classification-run3

by Jaehyun Kwon jaehyun-kwon/classification-run3

classification-run3 is an open-weight model from Jaehyun Kwon, released under MIT License. It has 33,088 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.

Parameters33,088
Context—
Weights—
Licensemit
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve classification-run3 (33,088 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 21, 2026.

classification-run3 on every accelerator the SAVRN Index prices, at every precision

Model Card

Identity and Version

Repository
jaehyun-kwon/classification-run3
Publisher
Jaehyun Kwon
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
33,088 parameters
Languages
Not stated by the source
Revision
c9076692df99f1ce5266f9834a450a82c929ee2f
First published
2026-10-20
Last updated
2026-10-20

License and Download

License
mit
Access
Open weights, no gate
Download from Jaehyun Kwon

Released by Jaehyun Kwon 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 classification-run3

How much GPU memory does classification-run3 need?

About 0 GB at 16-bit and 0 GB at 4-bit: the weights (33,088 parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run classification-run3 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 classification-run3 commercially?

Yes. classification-run3 is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.