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Open-weight model

class-classification

by Andregabrieleli andregabrieleli/class-classification

class-classification is an open-weight model from Andregabrieleli, released under MIT 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—
Licensemit
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve class-classification (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 21, 2026.

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

Model Card

Identity and Version

Repository
andregabrieleli/class-classification
Publisher
Andregabrieleli
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
1cf5231fcdefb64a4f670bcddc7ad8e9648aa6f3
First published
2026-10-20
Last updated
2026-10-20

License and Download

License
mit
Access
Open weights, no gate
Download from Andregabrieleli

Released by Andregabrieleli 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 class-classification

How much GPU memory does class-classification 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 class-classification 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 class-classification commercially?

Yes. class-classification 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.