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Open-weight model

matching-final-2024

by Lily Jones joneslily/matching-final-2024

matching-final-2024 is an open-weight model from Lily Jones, released under MIT 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—
Licensemit
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve matching-final-2024 (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 19, 2026.

matching-final-2024 on every accelerator the SAVRN Index prices, at every precision

Model Card

Identity and Version

Repository
joneslily/matching-final-2024
Publisher
Lily Jones
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
6136be0e2cdde793b588fe8c27337c3fc84dd7fa
First published
2026-10-19
Last updated
2026-10-19

License and Download

License
mit
Access
Open weights, no gate
Download from Lily Jones

Released by Lily Jones 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-final-2024

How much GPU memory does matching-final-2024 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-final-2024 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-final-2024 commercially?

Yes. matching-final-2024 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.