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OpenMOSS · Image generation · 5.08B parameters · Apache-2.0

MOSS-Image-SFT

Needs 7 GB at FP8 / INT8. The smallest real configuration today is 1× RTX 3060 at Vast.ai, $0.04 per hour, about $26 a month at 730 hours.

Parameters5.08Bdense
CategoryImage generationsized on weights + headroom
Checkpoint27 GBBF16, as published
LicenseApache-2.0check before commercial use
ReleasedOct 16, 2026documented date
Smallest configuration · FP8 / INT8
1× RTX 306012 GB VRAM · 51% used
Per hour
$0.04
Per month
$26
Cheapest at
Vast.ai
All RTX 3060 offers →

What is documented about MOSS-Image-SFT

news checked 2026-10-27

5B single-stream DiT trained with Muon; strong Chinese/English text rendering and JSON layout control. Files: transformer 10.17 GB BF16, text encoder 16.79 GB (Qwen3.5 architecture; Qwen3.5-9B per README comment and the Kromoss card), VAE 0.25 GB (FLUX.2 small decoder). 50 steps default. Day-0 support in SGLang, vLLM-Omni and ComfyUI (Comfy-Org/MOSS-Image: BF16 10.17 GB, INT8 5.41 GB). Comfy-Org repo had 2.4M downloads by 2026-10-27; many community LoRAs, including an editing LoRA (chinoll/Moss-Image-Edit). GitHub news: weights public 2026-10-16 (HF repos created 2026-10-11); tech report arXiv 2610.23374 (2026-10-19).

  • https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT
  • https://huggingface.co/api/models/OpenMOSS-Team/MOSS-Image-SFT?blobs=true
  • https://github.com/OpenMOSS/MOSS-Image
Memory · 3 precisions

How much VRAM it needs

Weights plus 20% runtime overhead. For image generation models, activations also depend on resolution, clip length and batch size; the per-GPU estimates below give the practical configuration.

PrecisionWeightsWeights + headroom
BF16published checkpoint27 GB33 GB
FP8 / INT8estimated5 GB7 GB
INT4 / MXFP4estimated3 GB4 GB
Cross-checked on Hugging Face Oct 28, 2026: 5.08B parameters in the safetensors headers, 27.2 GB of weight files. Method: weights as published at the native precision, verified on Hugging Face 2026-10-28; other precisions estimated at 1 (8-bit) and 0.6 (4-bit) bytes per parameter; × 1.2 runtime headroom; KV cache not added (architecture not readable).
Smallest configuration per GPU · 109 GPUs · cheapest eligible on-demand offer per GPU count, every provider on file

What it costs to run, GPU by GPU

The fewest GPUs of one type whose total memory fits the model at short context, priced from the cheapest eligible on-demand offer for exactly that count (45-day window, newest reading per provider), with the next providers beside it. Monthly = 730 hours.

GPUSmallest configVRAM used$ / hour$ / monthCheapest at
RTX 3060Best fit1× 12 GB12 GB total51%$0.04$26Vast.aiTrust 78 · read Nov 2 · receipt · also Clore.ai $0.05, gcube $0.05
RTX A20001× 12 GB12 GB total51%$0.04$26Vast.aiTrust 78 · read Nov 2 · receipt · also gcube $0.09, Runpod $0.12
Tesla P41× 8 GB8 GB total76%$0.04$29Vast.aiTrust 78 · read Nov 2 · receipt · also Akash Network $0.06, gcube $0.07
T41× 16 GB16 GB total38%$0.04$29Vast.aiTrust 78 · read Nov 2 · receipt · also iwinv $0.20, Theta EdgeCloud $0.20
Tesla P401× 24 GB24 GB total25%$0.04$30Clore.aiTrust 49 · read Nov 2 · receipt · also gcube $0.07, Vast.ai $0.11
GTX Titan X1× 12 GB12 GB total51%$0.04$31Vast.aiTrust 78 · read Nov 2 · receipt
Titan Xp1× 12 GB12 GB total51%$0.04$31Vast.aiTrust 78 · read Nov 2 · receipt
GTX 10801× 8 GB8 GB total76%$0.04$32Vast.aiTrust 78 · read Nov 2 · receipt · also Edgevana $0.06
Tesla P1001× 16 GB16 GB total38%$0.04$33Vast.aiTrust 78 · read Nov 2 · receipt · also gcube $0.07
GTX 10701× 8 GB8 GB total76%$0.05$36Vast.aiTrust 78 · read Nov 2 · receipt · also Clore.ai $0.08
Quadro P40001× 8 GB8 GB total76%$0.06$40Vast.aiTrust 78 · read Nov 2 · receipt · also Edgevana $0.08
RTX 20701× 8 GB8 GB total76%$0.06$41Vast.aiTrust 78 · read Nov 2 · receipt · also gcube $0.06, Clore.ai $0.21
RTX 3060 Ti1× 8 GB8 GB total76%$0.06$41Vast.aiTrust 78 · read Nov 2 · receipt · also Clore.ai $0.06, gcube $0.06
RTX 2060 Super1× 8 GB8 GB total76%$0.06$41gcubenot scored · read Nov 2 · receipt · also Clore.ai $0.06, Vast.ai $0.07
Quadro P20002× 5 GB10 GB total61%$0.06$41Vast.aiTrust 78 · read Nov 2 · receipt
GTX 1070 Ti1× 8 GB8 GB total76%$0.06$44Vast.aiTrust 78 · read Nov 2 · receipt · also Clore.ai $0.10
RTX 2070 Super1× 8 GB8 GB total76%$0.06$44gcubenot scored · read Nov 2 · receipt · also Vast.ai $0.06, Edgevana $0.11
RTX 30701× 8 GB8 GB total76%$0.06$44gcubenot scored · read Nov 2 · receipt · also Clore.ai $0.07, Theta EdgeCloud $0.08
RTX 40601× 8 GB8 GB total76%$0.06$45Vast.aiTrust 78 · read Nov 2 · receipt · also Clore.ai $0.08, Theta EdgeCloud $0.09
Tesla V100 16GB1× 16 GB16 GB total38%$0.06$46Clore.aiTrust 49 · read Nov 2 · receipt · also Vast.ai $0.08, CloudRift $0.28
RTX 20801× 8 GB8 GB total76%$0.06$47gcubenot scored · read Nov 2 · receipt · also Clore.ai $0.08, Vast.ai $0.09
RTX 2080 Super1× 8 GB8 GB total76%$0.06$47gcubenot scored · read Nov 2 · receipt · also Clore.ai $0.13
GTX 1080 Ti1× 11 GB11 GB total55%$0.06$47Vast.aiTrust 78 · read Nov 2 · receipt · also Edgevana $0.08
RTX 2080 Ti1× 11 GB11 GB total55%$0.07$49gcubenot scored · read Nov 2 · receipt · also Vast.ai $0.07, Clore.ai $0.11
The 24 cheapest of 103 GPU types that fit. Every GPU, any precision and context, in the finder