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Open-weight model

GR00T-N1.7-libero-spatial

by Bao Ngoc Dao baongocdao/GR00T-N1.7-libero-spatial

GR00T-N1.7-libero-spatial is an open-weight model from Bao Ngoc Dao. It has 3.1B parameters. At 16-bit it needs about 7.5 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters3.1B
Context—
Weights6.9 GB
License—
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve GR00T-N1.7-libero-spatial (3.1B 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 6.3 GB 7.5 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 3.1 GB 3.8 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 1.6 GB 1.9 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 18, 2026.

GR00T-N1.7-libero-spatial on every accelerator the SAVRN Index prices, at every precision

Model Card

The publisher has not written a card for this model.

Configuration

Architecture
Gr00tN1d7
Hidden size
1,024
Model type
Gr00tN1d7

Identity and Version

Repository
baongocdao/GR00T-N1.7-libero-spatial
Publisher
Bao Ngoc Dao
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
3.1B parameters
Languages
Not stated by the source
Revision
4c9058de45ab53d52852d9ba05f43f2e253b7cd9
First published
2026-09-19
Last updated
2026-09-20

Files and Weights

8 files, 6.9 GB in total. The weights are 2 files totalling 6.9 GB in safetensors.

Weights2 files · 6.9 GB
Configuration5 files · 4.4 MB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
model-00001-of-00002.safetensorsWeights5.0 GB b7c7314a989a
model-00002-of-00002.safetensorsWeights1.9 GB ac70555aee12
config.jsonConfiguration2.3 KB —
embodiment_id.jsonConfiguration2.1 KB —
model.safetensors.index.jsonConfiguration105.0 KB —
processor_config.jsonConfiguration26.9 KB —
statistics.jsonConfiguration4.3 MB —
.gitattributesRepository1.5 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
6.9 GB
Download from Bao Ngoc Dao

Released by Bao Ngoc Dao through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published6.9 GB
16-bit6.3 GB
8-bit3.1 GB
4-bit1.6 GB

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

Questions About GR00T-N1.7-libero-spatial

How much GPU memory does GR00T-N1.7-libero-spatial need?

About 7.5 GB at 16-bit and 1.9 GB at 4-bit: the weights (3.1B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run GR00T-N1.7-libero-spatial 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.