Skip to page content
SAVRN
Search Plan a project

Open-weight model

matching-pretrained7

by Jorge jorgegrmo/matching-pretrained7

matching-pretrained7 is an open-weight model from Jorge, released under BSD 3-Clause License. It has 24,832 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.

Parameters24,832
Context—
Weights—
Licensebsd-3-clause
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve matching-pretrained7 (24,832 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 23, 2026.

matching-pretrained7 on every accelerator the SAVRN Index prices, at every precision

Model Card

Identity and Version

Repository
jorgegrmo/matching-pretrained7
Publisher
Jorge
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
24,832 parameters
Languages
Not stated by the source
Revision
3dd4f566e49d9b5271ce0d81f6294a850cb17be1
First published
2026-10-20
Last updated
2026-10-20

License and Download

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

Released by Jorge 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 matching-pretrained7

How much GPU memory does matching-pretrained7 need?

About 0 GB at 16-bit and 0 GB at 4-bit: the weights (24,832 parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run matching-pretrained7 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 matching-pretrained7 commercially?

Yes. matching-pretrained7 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.