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Open-weight model · Robotics

diffusion_botao_100

by Victor Ivar van Halst victorvanhalst/diffusion_botao_100

diffusion_botao_100 is an open-weight model for robotics from Victor Ivar van Halst, released under Apache License 2.0. It has 278M parameters. At 16-bit it needs about 0.7 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters278M
Context—
Weights—
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve diffusion_botao_100 (278M 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 0.6 GB 0.7 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 0.3 GB 0.3 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 0.1 GB 0.2 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.

diffusion_botao_100 on every accelerator the SAVRN Index prices, at every precision

Model Card

Identity and Version

Repository
victorvanhalst/diffusion_botao_100
Publisher
Victor Ivar van Halst
Task
Robotics
Modality
Control
Library
lerobot
Parameters
278M parameters
Languages
Not stated by the source
Revision
a0e4d3e42297d2af4b6c7a03b1d20665a11ec16f
First published
2026-10-23
Last updated
2026-10-23

License and Download

License
apache-2.0
Access
Open weights, no gate
Download from Victor Ivar van Halst

Released by Victor Ivar van Halst through its official repository on Hugging Face. Read the license.

Built From

  • Described by arXiv:2303.04137
  • Trained on (disclosed) victorvanhalst/hive_botao_100

Memory Requirements

PrecisionWeights in memory
16-bit0.6 GB
8-bit0.3 GB
4-bit0.1 GB

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

Questions About diffusion_botao_100

How much GPU memory does diffusion_botao_100 need?

About 0.7 GB at 16-bit and 0.2 GB at 4-bit: the weights (278M parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run diffusion_botao_100 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 diffusion_botao_100 commercially?

Yes. diffusion_botao_100 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.

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