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Open-weight model

gc-sg-ip2p-v6pt3

by Kaito Furuo Kaito-F/gc-sg-ip2p-v6pt3

gc-sg-ip2p-v6pt3 is an open-weight model from Kaito Furuo. It has 860M parameters. At 16-bit it needs about 2.1 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters860M
Context—
Weights10.3 GB
License—
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve gc-sg-ip2p-v6pt3 (860M 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 1.7 GB 2.1 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 0.9 GB 1.0 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 0.4 GB 0.5 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.

gc-sg-ip2p-v6pt3 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
Kaito-F/gc-sg-ip2p-v6pt3
Publisher
Kaito Furuo
Task
Not stated by the source
Modality
Other
Library
diffusers
Parameters
860M parameters
Languages
Not stated by the source
Revision
31943a7503c11ed24ddab84930203669df51c626
First published
2026-10-18
Last updated
2026-10-18

Files and Weights

41 files, 10.3 GB in total. The weights are 6 files totalling 10.3 GB in safetensors.

Weights6 files · 10.3 GB
Configuration13 files · 75.8 KB
Other21 files · 10.4 MB
Repository1 file · 2.9 KB
Every file
FileTypeSizeSHA-256
ckpt-10000/unet/diffusion_pytorch_model.safetensorsWeights1.7 GB 450d0d40ca08
ckpt-2000/unet/diffusion_pytorch_model.safetensorsWeights1.7 GB 755ad3d2ac25
ckpt-4000/unet/diffusion_pytorch_model.safetensorsWeights1.7 GB a94a5522aa94
ckpt-6000/unet/diffusion_pytorch_model.safetensorsWeights1.7 GB 8adea0b861b2
ckpt-8000/unet/diffusion_pytorch_model.safetensorsWeights1.7 GB 8b6824f9e92e
unet/diffusion_pytorch_model.safetensorsWeights1.7 GB 450d0d40ca08
ckpt-10000/sg_config.jsonConfiguration363 B —
ckpt-10000/unet/config.jsonConfiguration1.8 KB —
ckpt-2000/sg_config.jsonConfiguration362 B —
ckpt-2000/unet/config.jsonConfiguration1.8 KB —
ckpt-4000/sg_config.jsonConfiguration362 B —
ckpt-4000/unet/config.jsonConfiguration1.8 KB —
ckpt-6000/sg_config.jsonConfiguration362 B —
ckpt-6000/unet/config.jsonConfiguration1.8 KB —
ckpt-8000/sg_config.jsonConfiguration362 B —
ckpt-8000/unet/config.jsonConfiguration1.8 KB —
sg_config.jsonConfiguration363 B —
stage2/holdout_v6pt3.jsonConfiguration62.7 KB —
unet/config.jsonConfiguration1.8 KB —
stage2/holdout_v6pt3.jpgOther3.8 MB b96f22a73593
thumbs/thumbs_libero_goal10_init0.jpgOther251.2 KB 26f8f61f2d63
thumbs/thumbs_libero_rlgen_init0_p00.jpgOther529.2 KB 245797ade307
thumbs/thumbs_libero_rlgen_init0_p01.jpgOther514.1 KB 3ea12431adff
thumbs/thumbs_libero_rlgen_init0_p02.jpgOther554.1 KB a4e69de113da
thumbs/thumbs_libero_rlgen_init0_p03.jpgOther430.9 KB 8e018273f3b4
thumbs/thumbs_libero_t3gen_init0_p00.jpgOther553.4 KB 44b2dc4c5631
thumbs/thumbs_libero_t3gen_init0_p01.jpgOther556.1 KB dd8677806a18
thumbs/thumbs_libero_t3gen_init0_p02.jpgOther519.7 KB 51c491db7279
thumbs/thumbs_libero_t3gen_init0_p03.jpgOther456.6 KB 45c45ee04756
val/step-000000.jpgOther208.4 KB bbb0fa94b313
val/step-001000.jpgOther209.1 KB 45d5bc5fc4ca
val/step-002000.jpgOther208.8 KB ead9ed3a49e9
val/step-003000.jpgOther208.8 KB 441e7c91113f
val/step-004000.jpgOther208.8 KB 04d890c5f4a9
val/step-005000.jpgOther208.7 KB d15a873cfb8e
val/step-006000.jpgOther208.6 KB 928d4322ac6f
val/step-007000.jpgOther208.9 KB fdc6d3684e6b
val/step-008000.jpgOther208.7 KB 923180cb0e4f
val/step-009000.jpgOther208.6 KB 8fdc8bed9c35
val/step-010000.jpgOther208.5 KB 225810aa7740
.gitattributesRepository2.9 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
10.3 GB
Download from Kaito Furuo

Released by Kaito Furuo through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published10.3 GB
16-bit1.7 GB
8-bit0.9 GB
4-bit0.4 GB

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

Questions About gc-sg-ip2p-v6pt3

How much GPU memory does gc-sg-ip2p-v6pt3 need?

About 2.1 GB at 16-bit and 0.5 GB at 4-bit: the weights (860M parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run gc-sg-ip2p-v6pt3 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.