unsloth / text-to-image Open weights updated 2 weeks ago

MOSS-Image-SFT-GGUF

This is a GGUF quantized version of MOSS-Image-SFT by OpenMOSS, the 5.1B text-to-image transformer. unsloth/MOSS-Image-SFT-GGUF uses Unsloth Dynamic 2.0 methodology: the UD- files are mixed precision, with each layer's type chosen from a measured sensitivity scan and an importance matrix collected while generating images. - Runs in Unsloth Studio and in stable-diffusion.cpp builds that include MOSS-Image (master-975...

Params
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Context
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Downloads 30d
134 K
Likes
19
Commercial use: allowed apache-2.0 Not gated GGUF 2 languages View on Hugging Face ↗

Download history

daily snapshots · 11 days
134 K47 K
Oct 31Nov 3Nov 7Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
MOSS-Image-SFT-UD-Q3_K_XL.gguf Q3_K_XL 2.8 GB 3.6 GB ✅ Runs comfortably
MOSS-Image-SFT-Q4_K_M.gguf Q4_K_M 3.2 GB 4.0 GB ✅ Runs comfortably
MOSS-Image-SFT-UD-Q4_K_XL.gguf Q4_K_XL 3.4 GB 4.3 GB ✅ Runs comfortably
MOSS-Image-SFT-UD-Q5_K_XL.gguf Q5_K_XL 3.9 GB 4.8 GB ✅ Runs comfortably
MOSS-Image-SFT-UD-Q6_K_XL.gguf Q6_K_XL 4.5 GB 5.5 GB ✅ Runs comfortably
MOSS-Image-SFT-Q8_0.gguf Q8_0 5.5 GB 6.5 GB ✅ Runs comfortably
MOSS-Image-SFT-BF16.gguf GGUF 10.2 GB 11.7 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Licence
apache-2.0
First seen on the Hub
2026-10-22
Training datasets
undisclosed
Added to our catalog
2026-10-31
Compare with any text-to-image model