Krea-2-Turbo-GGUF
See our collection of in-house trained LoRAs trained on Raw and meant to be used with Turbo: Krea-2 LoRA Collection
Params
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Context
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Downloads 30d
60 K
Likes
154
Download history
daily snapshots · 56 days
▲ 13 K in the last 30 days (26.9%)
60 K37 K
Aug 23Sep 2Sep 12Sep 21
73 K37 K
Jul 28Aug 15Sep 3Sep 21
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 |
|---|---|---|---|---|
| krea2_turbo-Q2_K.gguf | Q2_K | 4.9 GB | 5.9 GB | ✅ Runs comfortably |
| krea2_turbo-Q3_K_M.gguf | Q3_K_M | 6.0 GB | 7.1 GB | ✅ Runs comfortably |
| krea2_turbo-Q3_K_S.gguf | Q3_K_S | 6.0 GB | 7.1 GB | ✅ Runs comfortably |
| krea2_turbo-Q4_0.gguf | Q4_0 | 7.5 GB | 8.7 GB | ✅ Runs comfortably |
| krea2_turbo-Q4_K_M.gguf | Q4_K_M | 7.5 GB | 8.7 GB | ✅ Runs comfortably |
| krea2_turbo-Q4_K_S.gguf | Q4_K_S | 7.5 GB | 8.7 GB | ✅ Runs comfortably |
| krea2_turbo-Q4_1.gguf | Q4_1 | 8.2 GB | 9.5 GB | ✅ Runs comfortably |
| krea2_turbo-Q5_0.gguf | Q5_0 | 8.9 GB | 10.3 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
- other
- First seen on the Hub
- 2026-06-23
- Base model
- Krea-2-Turbo
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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