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Open-weight model

coca-matching

by Lena Pawlowski pawlowski8455x/coca-matching

coca-matching is an open-weight model from Lena Pawlowski, released under Apache License 2.0. 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—
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve coca-matching (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.

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

Model Card

Identity and Version

Repository
pawlowski8455x/coca-matching
Publisher
Lena Pawlowski
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
5fbb267473e30f80ce6bf13123bb685232ea93b6
First published
2026-10-19
Last updated
2026-10-19

License and Download

License
apache-2.0
Access
Open weights, no gate
Download from Lena Pawlowski

Released by Lena Pawlowski 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 coca-matching

How much GPU memory does coca-matching 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 coca-matching 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 coca-matching commercially?

Yes. coca-matching is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.