Qwen-Image-2512-GGUF
This is a GGUF quantized version of Qwen-Image-2512. unsloth/Qwen-Image-2512-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance.
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Context
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daily snapshots · 10 days80 K77 K
Jul 28Jul 31Aug 3Aug 6
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 |
|---|---|---|---|---|
| qwen-image-2512-Q2_K.gguf | Q2_K | 7.3 GB | 8.6 GB | ✅ Runs comfortably |
| qwen-image-2512-Q3_K_S.gguf | Q3_K_S | 9.2 GB | 10.6 GB | ✅ Runs comfortably |
| qwen-image-2512-Q3_K_M.gguf | Q3_K_M | 9.9 GB | 11.4 GB | ✅ Runs comfortably |
| qwen-image-2512-Q4_0.gguf | Q4_0 | 11.9 GB | 13.5 GB | ✅ Runs comfortably |
| qwen-image-2512-Q4_K_S.gguf | Q4_K_S | 12.3 GB | 14.0 GB | ✅ Runs comfortably |
| qwen-image-2512-Q4_1.gguf | Q4_1 | 12.8 GB | 14.6 GB | ✅ Runs comfortably |
| qwen-image-2512-Q4_K_M.gguf | Q4_K_M | 13.2 GB | 15.1 GB | ✅ Runs comfortably |
| qwen-image-2512-BF16.gguf | GGUF | 40.9 GB | 45.5 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
- Licence
- apache-2.0
- First seen on the Hub
- 2025-12-30
- Base model
- Qwen-Image-2512
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
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