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Open-weight model

paper-retrieval-2024

by Caio-Santos Casantos73/paper-retrieval-2024

paper-retrieval-2024 is an open-weight model from Caio-Santos, released under bsd-2-clause. 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—
Licensebsd-2-clause
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve paper-retrieval-2024 (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 27, 2026.

paper-retrieval-2024 on every accelerator the SAVRN Index prices, at every precision

Model Card

Identity and Version

Repository
Casantos73/paper-retrieval-2024
Publisher
Caio-Santos
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
91949772247632263c2b2eec35ce8675b3df9d22
First published
2026-10-22
Last updated
2026-10-22

License and Download

License
bsd-2-clause
Access
Open weights, no gate
Download from Caio-Santos

Released by Caio-Santos through its official repository on Hugging Face.

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 paper-retrieval-2024

How much GPU memory does paper-retrieval-2024 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 paper-retrieval-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.

What license is paper-retrieval-2024 released under?

bsd-2-clause, as its publisher declares it. Read the license text before commercial use.