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Open-weight model

pi05_insert_gear_in_gripper_expert_only_step4000

by Fanqi Robo fanqi-robo/pi05_insert_gear_in_gripper_expert_only_step4000

pi05_insert_gear_in_gripper_expert_only_step4000 is an open-weight model from Fanqi Robo. It has 4.1B parameters. At 16-bit it needs about 9.9 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters4.1B
Context—
Weights9.4 GB
License—
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve pi05_insert_gear_in_gripper_expert_only_step4000 (4.1B 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 8.3 GB 9.9 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 4.1 GB 5.0 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 2.1 GB 2.5 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.

pi05_insert_gear_in_gripper_expert_only_step4000 on every accelerator the SAVRN Index prices, at every precision

Model Card

The publisher has not written a card for this model.

Identity and Version

Repository
fanqi-robo/pi05_insert_gear_in_gripper_expert_only_step4000
Publisher
Fanqi Robo
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
4.1B parameters
Languages
Not stated by the source
Revision
a6ee8f973ab502c46b1286790956d6a259cad678
First published
2026-10-01
Last updated
2026-10-01

Files and Weights

8 files, 9.4 GB in total. The weights are 3 files totalling 9.4 GB in safetensors.

Weights3 files · 9.4 GB
Configuration4 files · 13.5 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
model.safetensorsWeights9.4 GB e984579e46d4
policy_postprocessor_step_0_unnormalizer_processor.safetensorsWeights9.3 KB 0a1c68578d73
policy_preprocessor_step_2_normalizer_processor.safetensorsWeights9.3 KB 0a1c68578d73
config.jsonConfiguration2.9 KB —
policy_postprocessor.jsonConfiguration663 B —
policy_preprocessor.jsonConfiguration1.9 KB —
train_config.jsonConfiguration8.0 KB —
.gitattributesRepository1.5 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
9.4 GB
Download from Fanqi Robo

Released by Fanqi Robo through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published9.4 GB
16-bit8.3 GB
8-bit4.1 GB
4-bit2.1 GB

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

Questions About pi05_insert_gear_in_gripper_expert_only_step4000

How much GPU memory does pi05_insert_gear_in_gripper_expert_only_step4000 need?

About 9.9 GB at 16-bit and 2.5 GB at 4-bit: the weights (4.1B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run pi05_insert_gear_in_gripper_expert_only_step4000 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.