AutoTrust · 27.8B · Dense
Jev-style vision decision model on Qwen 3.8 27B — fast typed decisions over images and text, independent of TypeSafe Check if your GPU or Mac can run JEV-27B-VL locally — 15.5 GB min, 25.9 GB recommended.
2026-09256K context
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 9.4 GB | low | — |
| Q3_K_M | 3 | 13 GB | moderate | — |
| Q4_K_M | 4 | 14.7 GB | good | — |
| Q5_K_M | 5 | 18.3 GB | good | — |
| Q6_K | 6 | 21.9 GB | excellent | — |
| Q8_0 | 8 | 29 GB | excellent | — |
| F16 | 16 | 57.5 GB | lossless | — |
Can I run JEV-27B-VL locally?
- Can I run JEV-27B-VL locally?
- JEV-27B-VL needs about 15.5 GB of memory at a minimum and 25.9 GB recommended. Open this page to grade it against your GPU or Mac, then run it with runai, Ollama or LM Studio.
- How much VRAM does JEV-27B-VL need?
- At Q4_K_M, JEV-27B-VL uses about 14.7 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.