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Open-weight model

vivit-vit-fc-loss-8-10-epochs-5_class_1_p3_min_0_splited-1792718756.841698

by Hon Nguyen tihon-nth/vivit-vit-fc-loss-8-10-epochs-5_class_1_p3_min_0_splited-1792718756.841698

vivit-vit-fc-loss-8-10-epochs-5_class_1_p3_min_0_splited-1792718756.841698 is an open-weight model from Hon Nguyen. It has 89M parameters. At 16-bit it needs about 0.2 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters89M
Context—
Weights—
License—
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve vivit-vit-fc-loss-8-10-epochs-5_class_1_p3_min_0_splited-1792718756.841698 (89M 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 0.2 GB 0.2 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 0.1 GB 0.1 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 0.0 GB 0.1 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.

vivit-vit-fc-loss-8-10-epochs-5_class_1_p3_min_0_splited-1792718756.841698 on every accelerator the SAVRN Index prices, at every precision

Model Card

Identity and Version

Repository
tihon-nth/vivit-vit-fc-loss-8-10-epochs-5_class_1_p3_min_0_splited-1792718756.841698
Publisher
Hon Nguyen
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
89M parameters
Languages
Not stated by the source
Revision
e3acd6cc5ac6ac366ed214617c96a185bedd3bec
First published
2026-10-23
Last updated
2026-10-23

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download from Hon Nguyen

Released by Hon Nguyen through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
16-bit0.2 GB
8-bit0.1 GB
4-bit0.0 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About vivit-vit-fc-loss-8-10-epochs-5_class_1_p3_min_0_splited-1792718756.841698

How much GPU memory does vivit-vit-fc-loss-8-10-epochs-5_class_1_p3_min_0_splited-1792718756.841698 need?

About 0.2 GB at 16-bit and 0.1 GB at 4-bit: the weights (89M parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run vivit-vit-fc-loss-8-10-epochs-5_class_1_p3_min_0_splited-1792718756.841698 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.