Qwen-Image-2.1-GGUF
This is a GGUF quantized version of Qwen-Image-2.1. unsloth/Qwen-Image-2.1-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance.
Params
7.1 B
Context
—
Downloads 30d
1.5 M
Likes
419
Download history
daily snapshots · 30 days1.5 M27 K
Sep 24Oct 4Oct 14Oct 23
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-2.1-Q2_K.gguf | Q2_K | 2.5 GB | 4.3 GB | ✅ Runs comfortably |
| qwen-image-2.1-Q3_K_S.gguf | Q3_K_S | 2.7 GB | 4.6 GB | ✅ Runs comfortably |
| qwen-image-2.1-Q3_K_M.gguf | Q3_K_M | 3.2 GB | 5.1 GB | ✅ Runs comfortably |
| qwen-image-2.1-Q3_K_XL.gguf | Q3_K_XL | 3.6 GB | 5.5 GB | ✅ Runs comfortably |
| qwen-image-2.1-Q4_K_S.gguf | Q4_K_S | 3.9 GB | 5.9 GB | ✅ Runs comfortably |
| qwen-image-2.1-Q4_K_M.gguf | Q4_K_M | 4.2 GB | 6.2 GB | ✅ Runs comfortably |
| qwen-image-2.1-Q5_K_M.gguf | Q5_K_M | 5.4 GB | 7.5 GB | ✅ Runs comfortably |
| qwen-image-2.1-F16.gguf | GGUF | 14.2 GB | 17.2 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 7.1 B
- Licence
- other
- First seen on the Hub
- 2026-09-21
- Base model
- Qwen-Image-2.1
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-24
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-to-image model