Z-Image-Turbo-FP8
This is an FP8 / INT8 quantized version of Z-Image-Turbo. - Optimized for efficient inference with reduced memory footprint. Same-seed LPIPS vs the bf16 model (lower is better): 0.181 INT8, 0.130 FP8.
Params
6.2 B
Context
—
Downloads 30d
59 K
Likes
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Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)59 K downloads in the last 30 days
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | fp16 | 24.1 GB | 27.9 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 6.2 B
- Licence
- apache-2.0
- First seen on the Hub
- 2026-07-17
- Base model
- Z-Image-Turbo
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-to-image model