Can I run OneJev 0.8B locally?
At Q4_K_M, the tracked weights are 0.7GB. The tables estimate memory fit, not app support or decision latency. OneJev needs the publisher's System One workflow; image inputs need additional projector memory.
How to run OneJev 0.8B locally
OneJev returns probabilities for typed choices in a single forward pass. The hardware tables below estimate weight fit; chat tokens/s do not measure decision latency. Image inputs also require a separate vision projector, whose memory is not included in the GGUF weight figures.
The publisher documents qev with llama.cpp for text and images. Video requires its PyTorch server. This is a developer workflow; the phone tables do not establish PocketPal support.
brew install llama.cpp
pip install git+https://github.com/OmniJev/OneJev.git
qev serve --gguf mradermacher/OneJev-0.8B-GGUF:Q8_0This upstream example uses Q8_0, not the default Q4_K_M estimate. Allow additional memory for the projector and runtime before choosing hardware.
Publisher setup and System One client example ↗Downloads & memory by quant
The download is only the weights — add KV cache and runtime to get what your phone actually needs. “Memory-fit” only means it can load; “usable” also requires an estimated 3+ tokens/s. Each row uses that row's quant. ★ = recommended.
| Quant | Download | Memory needed | Phone reality |
|---|---|---|---|
| Q2_K | 0.5 GB | ~1.2 GB | 150 memory-fit · 150 usable |
| IQ4_XS | 0.6 GB | ~1.3 GB | 150 memory-fit · 150 usable |
| Q3_K_M | 0.6 GB | ~1.3 GB | 150 memory-fit · 150 usable |
| Q4_K_S | 0.6 GB | ~1.3 GB | 150 memory-fit · 150 usable |
| Q4_K_M ★ | 0.7 GB | ~1.4 GB | 150 memory-fit · 150 usable |
| Q5_K_M | 0.8 GB | ~1.5 GB | 150 memory-fit · 150 usable |
| Q6_K | 0.8 GB | ~1.5 GB | 150 memory-fit · 150 usable |
| Q8_0 | 1.1 GB | ~1.8 GB | 150 memory-fit · 150 usable |
OneJev 0.8B at Q4_K_M on 150 phones
This table is fixed to the recommended Q4_K_M, on each phone's largest RAM option. Counts for smaller quants above will differ. All phones are shown, sorted by fit and estimated experience; tap one for the full report.
| Phone | Chip · RAM | Needs | Speed | Verdict |
|---|---|---|---|---|
| Galaxy S25 Ultra | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Galaxy S25 | Snapdragon 8 Elite · 12 GB | 1.4 / 9 GB | ~49.4 tokens/s | ✓ Runs great |
| Galaxy S24 Ultra | Snapdragon 8 Gen 3 · 12 GB | 1.4 / 9 GB | ~49.4 tokens/s | ✓ Runs great |
| Galaxy S24 | Samsung Exynos 2400 · 12 GB | 1.4 / 9 GB | ~43.2 tokens/s | ✓ Runs great |
| Galaxy S23 Ultra | Snapdragon 8 Gen 2 · 12 GB | 1.4 / 9 GB | ~43.2 tokens/s | ✓ Runs great |
| Galaxy A55 | Exynos 1480 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| iPhone 16 Pro Max | Apple A18 Pro · 8 GB | 1.4 / 5.2 GB | ~38.6 tokens/s | ✓ Runs great |
| iPhone 16 Pro | Apple A18 Pro · 8 GB | 1.4 / 5.2 GB | ~38.6 tokens/s | ✓ Runs great |
| iPhone 16 | Apple A18 · 8 GB | 1.4 / 5.2 GB | ~38.6 tokens/s | ✓ Runs great |
| iPhone 15 Pro | Apple A17 Pro · 8 GB | 1.4 / 5.2 GB | ~32.9 tokens/s | ✓ Runs great |
| iPhone 15 | Apple A16 Bionic · 6 GB | 1.4 / 3.9 GB | ~32.9 tokens/s | ✓ Runs great |
| iPhone 14 | Apple A15 Bionic · 6 GB | 1.4 / 3.9 GB | ~21.9 tokens/s | ✓ Runs great |
| Pixel 9 Pro | Google Tensor G4 · 16 GB | 1.4 / 12 GB | ~43.9 tokens/s | ✓ Runs great |
| Pixel 9 | Google Tensor G4 · 12 GB | 1.4 / 9 GB | ~43.9 tokens/s | ✓ Runs great |
| Pixel 8 Pro | Google Tensor G3 · 12 GB | 1.4 / 9 GB | ~43.9 tokens/s | ✓ Runs great |
| Pixel 8a | Google Tensor G3 · 8 GB | 1.4 / 6 GB | ~43.9 tokens/s | ✓ Runs great |
| OnePlus 13 | Snapdragon 8 Elite · 24 GB | 1.4 / 20 GB | ~49.4 tokens/s | ✓ Runs great |
| OnePlus 12 | Snapdragon 8 Gen 3 · 24 GB | 1.4 / 20 GB | ~49.4 tokens/s | ✓ Runs great |
| Xiaomi 15 Pro | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Xiaomi 14 | Snapdragon 8 Gen 3 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Redmi Note 13 Pro | Snapdragon 7s Gen 2 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| POCO X6 Pro | Dimensity 8300 Ultra · 12 GB | 1.4 / 9 GB | ~43.8 tokens/s | ✓ Runs great |
| OPPO Find X8 Pro | Dimensity 9400 · 16 GB | 1.4 / 12 GB | ~54.8 tokens/s | ✓ Runs great |
| vivo X200 Pro | Dimensity 9400 · 16 GB | 1.4 / 12 GB | ~54.8 tokens/s | ✓ Runs great |
| vivo X100 Pro | Dimensity 9300 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| ROG Phone 9 Pro | Snapdragon 8 Elite · 24 GB | 1.4 / 20 GB | ~49.4 tokens/s | ✓ Runs great |
| Nothing Phone (3) | Snapdragon 8s Gen 4 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Nothing Phone (2a) | Dimensity 7200 Pro · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Motorola Edge 50 Ultra | Snapdragon 8s Gen 3 · 16 GB | 1.4 / 12 GB | ~43.2 tokens/s | ✓ Runs great |
| HONOR Magic7 Pro | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| iPhone 17 | Apple A19 · 8 GB | 1.4 / 5.2 GB | ~43.8 tokens/s | ✓ Runs great |
| iPhone Air | Apple A19 Pro · 12 GB | 1.4 / 7.8 GB | ~49.4 tokens/s | ✓ Runs great |
| iPhone 17 Pro | Apple A19 Pro · 12 GB | 1.4 / 7.8 GB | ~49.4 tokens/s | ✓ Runs great |
| iPhone 17 Pro Max | Apple A19 Pro · 12 GB | 1.4 / 7.8 GB | ~49.4 tokens/s | ✓ Runs great |
| Galaxy S26 | Snapdragon 8 Elite Gen 5 · 12 GB | 1.4 / 9 GB | ~54.5 tokens/s | ✓ Runs great |
| Galaxy S26+ | Snapdragon 8 Elite Gen 5 · 12 GB | 1.4 / 9 GB | ~54.5 tokens/s | ✓ Runs great |
| Galaxy S26 Ultra | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Galaxy S26 FE | Exynos 2500 · 8 GB | 1.4 / 6 GB | ~49.4 tokens/s | ✓ Runs great |
| Xiaomi 17 | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Xiaomi 17 Pro | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Xiaomi 18 Pro | Snapdragon 8 Elite Gen 6 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Xiaomi 18 Pro Max | Snapdragon 8 Elite Extreme Gen 6 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Xiaomi 18 Fold | Xiaomi XRING O3 · 16 GB | 1.4 / 12 GB | ~73.2 tokens/s | ✓ Runs great |
| nubia NaviX Ultra | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| OnePlus 15 | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| vivo X300 Pro | Dimensity 9500 · 16 GB | 1.4 / 12 GB | ~54.8 tokens/s | ✓ Runs great |
| vivo X500 Pro | Dimensity 9600 Pro · 12 GB | 1.4 / 9 GB | ~54.8 tokens/s | ✓ Runs great |
| vivo X500 Pro Max | Dimensity 9600 Pro · 16 GB | 1.4 / 12 GB | ~54.8 tokens/s | ✓ Runs great |
| vivo X300 E | Snapdragon 8 Gen 5 · 12 GB | 1.4 / 9 GB | ~49.4 tokens/s | ✓ Runs great |
| OPPO Find X9 Pro | Dimensity 9500 · 16 GB | 1.4 / 12 GB | ~54.8 tokens/s | ✓ Runs great |
| Pixel 10 | Google Tensor G5 · 12 GB | 1.4 / 9 GB | ~43.8 tokens/s | ✓ Runs great |
| Pixel 10 Pro | Google Tensor G5 · 16 GB | 1.4 / 12 GB | ~43.8 tokens/s | ✓ Runs great |
| Pixel 11 | Google Tensor G6 · 12 GB | 1.4 / 9 GB | ~43.8 tokens/s | ✓ Runs great |
| Pixel 11 Pro | Google Tensor G6 · 16 GB | 1.4 / 12 GB | ~43.8 tokens/s | ✓ Runs great |
| Pixel 11 Pro XL | Google Tensor G6 · 16 GB | 1.4 / 12 GB | ~43.8 tokens/s | ✓ Runs great |
| iPhone 16e | Apple A18 · 8 GB | 1.4 / 5.2 GB | ~38.6 tokens/s | ✓ Runs great |
| Pixel 9a | Google Tensor G4 · 8 GB | 1.4 / 6 GB | ~43.9 tokens/s | ✓ Runs great |
| Galaxy S25 FE | Samsung Exynos 2400 · 8 GB | 1.4 / 6 GB | ~43.2 tokens/s | ✓ Runs great |
| Nothing Phone (3a) | Snapdragon 7s Gen 3 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Galaxy A26 5G | Exynos 1380 · 8 GB | 1.4 / 6 GB | ~16.5 tokens/s | ✓ Runs great |
| Galaxy A36 5G | Snapdragon 6 Gen 3 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Galaxy A56 5G | Exynos 1580 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Galaxy Z Fold6 | Snapdragon 8 Gen 3 · 12 GB | 1.4 / 9 GB | ~49.4 tokens/s | ✓ Runs great |
| Galaxy Z Flip6 | Snapdragon 8 Gen 3 · 12 GB | 1.4 / 9 GB | ~49.4 tokens/s | ✓ Runs great |
| Galaxy Z Fold7 | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Galaxy Z Flip7 | Exynos 2500 · 12 GB | 1.4 / 9 GB | ~49.4 tokens/s | ✓ Runs great |
| Moto G Stylus (2025) | Snapdragon 6 Gen 3 · 8 GB | 1.4 / 6 GB | ~16.5 tokens/s | ✓ Runs great |
| Moto G Stylus (2026) | Snapdragon 6 Gen 3 · 8 GB | 1.4 / 6 GB | ~16.5 tokens/s | ✓ Runs great |
| Motorola Razr Ultra (2025) | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| OnePlus 13R | Snapdragon 8 Gen 3 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| OnePlus 15R | Snapdragon 8 Gen 5 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Pixel 9 Pro XL | Google Tensor G4 · 16 GB | 1.4 / 12 GB | ~43.9 tokens/s | ✓ Runs great |
| Pixel 10 Pro XL | Google Tensor G5 · 16 GB | 1.4 / 12 GB | ~43.8 tokens/s | ✓ Runs great |
| iPhone 17e | Apple A19 · 8 GB | 1.4 / 5.2 GB | ~43.8 tokens/s | ✓ Runs great |
| Pixel 10a | Google Tensor G4 · 8 GB | 1.4 / 6 GB | ~43.9 tokens/s | ✓ Runs great |
| Galaxy A57 5G | Exynos 1680 · 12 GB | 1.4 / 9 GB | ~21.9 tokens/s | ✓ Runs great |
| Galaxy A37 5G | Exynos 1480 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Motorola Razr+ (2026) | Snapdragon 8s Gen 3 · 12 GB | 1.4 / 9 GB | ~43.2 tokens/s | ✓ Runs great |
| Motorola Razr Ultra (2026) | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Motorola Edge (2026) | Dimensity 7450 · 8 GB | 1.4 / 6 GB | ~16.5 tokens/s | ✓ Runs great |
| Nothing Phone (4a) Pro | Snapdragon 7 Gen 4 · 12 GB | 1.4 / 9 GB | ~21.6 tokens/s | ✓ Runs great |
| RedMagic 11 Air | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| RedMagic 11S Pro | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Redmi Note 14 Pro 5G | Dimensity 7300 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Redmi Note 15 Pro 5G | Dimensity 7400 Ultra · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Redmi Note 15 5G | Snapdragon 6 Gen 3 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Redmi Note 14 Pro+ 5G | Snapdragon 7s Gen 3 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Redmi Note 15 Pro+ 5G | Snapdragon 7s Gen 4 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Xiaomi 15T | Dimensity 8400 Ultra · 12 GB | 1.4 / 9 GB | ~43.9 tokens/s | ✓ Runs great |
| Xiaomi 15T Pro | Dimensity 9400+ · 12 GB | 1.4 / 9 GB | ~54.8 tokens/s | ✓ Runs great |
| POCO X7 Pro | Dimensity 8400 Ultra · 12 GB | 1.4 / 9 GB | ~43.9 tokens/s | ✓ Runs great |
| Xiaomi MIX Fold 2 | Snapdragon 8+ Gen 1 · 12 GB | 1.4 / 9 GB | ~32.9 tokens/s | ✓ Runs great |
| Honor 400 | Snapdragon 7 Gen 3 · 12 GB | 1.4 / 9 GB | ~16.5 tokens/s | ✓ Runs great |
| Honor Magic8 Pro | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Honor Magic9 | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Honor Magic9 Super Edition | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| CMF Phone 2 Pro | Dimensity 7300 · 8 GB | 1.4 / 6 GB | ~16.5 tokens/s | ✓ Runs great |
| AQUOS sense10 | Snapdragon 7s Gen 3 · 8 GB | 1.4 / 6 GB | ~16.5 tokens/s | ✓ Runs great |
| AQUOS sense9 | Snapdragon 7s Gen 2 · 8 GB | 1.4 / 6 GB | ~16.5 tokens/s | ✓ Runs great |
| AQUOS R10 | Snapdragon 7+ Gen 3 · 12 GB | 1.4 / 9 GB | ~43.2 tokens/s | ✓ Runs great |
| Xperia 10 VII | Snapdragon 6 Gen 3 · 8 GB | 1.4 / 6 GB | ~16.5 tokens/s | ✓ Runs great |
| Xperia 1 VII | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Xperia 1 VIII | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Galaxy Z Fold8 | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Galaxy Z Fold8 Ultra | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| Galaxy Z Flip8 | Samsung Exynos 2600 · 12 GB | 1.4 / 9 GB | ~54.8 tokens/s | ✓ Runs great |
| Galaxy Z Fold5 | Snapdragon 8 Gen 2 · 12 GB | 1.4 / 9 GB | ~43.2 tokens/s | ✓ Runs great |
| Galaxy Z Flip5 | Snapdragon 8 Gen 2 · 8 GB | 1.4 / 6 GB | ~43.2 tokens/s | ✓ Runs great |
| Xiaomi MIX Fold 3 | Snapdragon 8 Gen 2 · 16 GB | 1.4 / 12 GB | ~43.2 tokens/s | ✓ Runs great |
| Xiaomi MIX Fold 4 | Snapdragon 8 Gen 3 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Xiaomi MIX Flip | Snapdragon 8 Gen 3 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Xiaomi MIX Flip 2 | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Honor Magic V2 | Snapdragon 8 Gen 2 · 16 GB | 1.4 / 12 GB | ~43.2 tokens/s | ✓ Runs great |
| Honor Magic V3 | Snapdragon 8 Gen 3 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Honor Magic V5 | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Honor Magic V6 | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| HONOR Robot Phone | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| OPPO Find N3 | Snapdragon 8 Gen 2 · 16 GB | 1.4 / 12 GB | ~43.2 tokens/s | ✓ Runs great |
| OnePlus Open | Snapdragon 8 Gen 2 · 16 GB | 1.4 / 12 GB | ~43.2 tokens/s | ✓ Runs great |
| OPPO Find N5 | Snapdragon 8 Elite · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| OPPO Find N6 | Snapdragon 8 Elite Gen 5 · 16 GB | 1.4 / 12 GB | ~54.5 tokens/s | ✓ Runs great |
| vivo X Fold3 | Snapdragon 8 Gen 2 · 16 GB | 1.4 / 12 GB | ~43.2 tokens/s | ✓ Runs great |
| vivo X Fold3 Pro | Snapdragon 8 Gen 3 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| vivo X Fold5 | Snapdragon 8 Gen 3 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| vivo X Fold6 | Dimensity 9500 · 16 GB | 1.4 / 12 GB | ~54.8 tokens/s | ✓ Runs great |
| Pixel Fold | Tensor G2 · 12 GB | 1.4 / 9 GB | ~32.9 tokens/s | ✓ Runs great |
| Pixel 9 Pro Fold | Google Tensor G4 · 16 GB | 1.4 / 12 GB | ~43.9 tokens/s | ✓ Runs great |
| Pixel 10 Pro Fold | Google Tensor G5 · 16 GB | 1.4 / 12 GB | ~43.8 tokens/s | ✓ Runs great |
| Pixel 11 Pro Fold | Google Tensor G6 · 16 GB | 1.4 / 12 GB | ~43.8 tokens/s | ✓ Runs great |
| Huawei Mate X6 | Kirin 9020 · 16 GB | 1.4 / 12 GB | ~43.8 tokens/s | ✓ Runs great |
| Huawei Mate X7 | Kirin 9030 Pro · 20 GB | 1.4 / 16 GB | ~49.4 tokens/s | ✓ Runs great |
| Motorola Razr+ (2023) | Snapdragon 8+ Gen 1 · 12 GB | 1.4 / 9 GB | ~32.9 tokens/s | ✓ Runs great |
| Motorola Razr+ (2024) | Snapdragon 8s Gen 3 · 12 GB | 1.4 / 9 GB | ~43.2 tokens/s | ✓ Runs great |
| Motorola Razr+ (2025) | Snapdragon 8s Gen 3 · 12 GB | 1.4 / 9 GB | ~43.2 tokens/s | ✓ Runs great |
| Motorola Razr Fold | Snapdragon 8 Gen 5 · 16 GB | 1.4 / 12 GB | ~49.4 tokens/s | ✓ Runs great |
| Galaxy A16 5G | Exynos 1330 · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| Galaxy A17 5G | Exynos 1330 · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| Moto G (2025) | Dimensity 6300 · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| Moto G Power (2025) | Dimensity 6300 · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| Moto G Power (2026) | Dimensity 6300 · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| Motorola Razr (2025) | Dimensity 7400X · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| Motorola Razr (2026) | Dimensity 7450X · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| Motorola Razr (2024) | Dimensity 7300X · 12 GB | 1.4 / 9 GB | ~11 tokens/s | ✓ Runs great |
| Redmi Note 17 | Snapdragon 4 Gen 4 · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| vivo S2 | Dimensity 7360-Turbo · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| vivo V80 Lite 5G (Pakistan) | Dimensity 7360-Turbo · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| iQOO Z11 Lite | Dimensity 6300 · 8 GB | 1.4 / 6 GB | ~11 tokens/s | ✓ Runs great |
| vivo Y600i | Snapdragon 4 Gen 2 · 6 GB | 1.4 / 4 GB | ~11 tokens/s | ✓ Runs great |
| Moto G (2026) | Dimensity 6300 · 4 GB | 1.4 / 2 GB | ~11 tokens/s | ✓ Runs great |
| REDMI 17C 5G | Dimensity 6300 · 4 GB | 1.4 / 2 GB | ~11 tokens/s | ✓ Runs great |
~ = bandwidth-based estimate · ✓ = measured on real hardware
OneJev 0.8B on 54 Mac configurations
Each Mac uses the recommended Q4_K_M at 4K context when it fits, or the largest smaller tracked quant that fits. Each row links to the full report with a macOS-specific setup guide.
| Mac | Unified memory | Quant | Working budget | Needs | Estimated speed | Verdict |
|---|---|---|---|---|---|---|
| Mac Studio M5 Ultra | 512 GB | Q4_K_M | 504 GB | 1.6 GB | ~857.1–1200 tokens/s | ✓ Runs great |
| Mac Studio M3 Ultra | 512 GB | Q4_K_M | 504 GB | 1.6 GB | ~585–819 tokens/s | ✓ Runs great |
| Mac Studio M5 Ultra | 256 GB | Q4_K_M | 248 GB | 1.6 GB | ~857.1–1200 tokens/s | ✓ Runs great |
| Mac Studio M3 Ultra | 256 GB | Q4_K_M | 248 GB | 1.6 GB | ~585–819 tokens/s | ✓ Runs great |
| Mac Studio M5 Max | 128 GB | Q4_K_M | 120 GB | 1.6 GB | ~438.6–614 tokens/s | ✓ Runs great |
| MacBook Pro M5 Max | 128 GB | Q4_K_M | 120 GB | 1.6 GB | ~438.6–614 tokens/s | ✓ Runs great |
| Mac Studio M4 Max | 128 GB | Q4_K_M | 120 GB | 1.6 GB | ~390–546 tokens/s | ✓ Runs great |
| MacBook Pro M4 Max | 128 GB | Q4_K_M | 120 GB | 1.6 GB | ~390–546 tokens/s | ✓ Runs great |
| MacBook Pro M3 Max | 128 GB | Q4_K_M | 120 GB | 1.6 GB | ~285.7–400 tokens/s | ✓ Runs great |
| Mac Studio M5 Ultra | 96 GB | Q4_K_M | 88 GB | 1.6 GB | ~857.1–1200 tokens/s | ✓ Runs great |
| Mac Studio M3 Ultra | 96 GB | Q4_K_M | 88 GB | 1.6 GB | ~585–819 tokens/s | ✓ Runs great |
| Mac mini M5 Pro | 64 GB | Q4_K_M | 57.6 GB | 1.6 GB | ~219.3–307 tokens/s | ✓ Runs great |
| Mac Studio M5 Max | 64 GB | Q4_K_M | 57.6 GB | 1.6 GB | ~438.6–614 tokens/s | ✓ Runs great |
| MacBook Pro M5 Pro | 64 GB | Q4_K_M | 57.6 GB | 1.6 GB | ~219.3–307 tokens/s | ✓ Runs great |
| MacBook Pro M5 Max | 64 GB | Q4_K_M | 57.6 GB | 1.6 GB | ~438.6–614 tokens/s | ✓ Runs great |
| Mac Studio M4 Max | 64 GB | Q4_K_M | 57.6 GB | 1.6 GB | ~390–546 tokens/s | ✓ Runs great |
| Mac mini M4 Pro | 64 GB | Q4_K_M | 57.6 GB | 1.6 GB | ~195–273 tokens/s | ✓ Runs great |
| MacBook Pro M4 Max | 64 GB | Q4_K_M | 57.6 GB | 1.6 GB | ~390–546 tokens/s | ✓ Runs great |
| MacBook Pro M3 Max | 64 GB | Q4_K_M | 57.6 GB | 1.6 GB | ~285.7–400 tokens/s | ✓ Runs great |
| Mac mini M5 Pro | 48 GB | Q4_K_M | 43.2 GB | 1.6 GB | ~219.3–307 tokens/s | ✓ Runs great |
| Mac Studio M5 Max | 48 GB | Q4_K_M | 43.2 GB | 1.6 GB | ~438.6–614 tokens/s | ✓ Runs great |
| MacBook Pro M5 Pro | 48 GB | Q4_K_M | 43.2 GB | 1.6 GB | ~219.3–307 tokens/s | ✓ Runs great |
| Mac Studio M4 Max | 48 GB | Q4_K_M | 43.2 GB | 1.6 GB | ~390–546 tokens/s | ✓ Runs great |
| Mac mini M4 Pro | 48 GB | Q4_K_M | 43.2 GB | 1.6 GB | ~195–273 tokens/s | ✓ Runs great |
| MacBook Pro M4 Pro | 48 GB | Q4_K_M | 43.2 GB | 1.6 GB | ~195–273 tokens/s | ✓ Runs great |
| Mac Studio M5 Max | 36 GB | Q4_K_M | 32.4 GB | 1.6 GB | ~328.6–460 tokens/s | ✓ Runs great |
| MacBook Pro M5 Max | 36 GB | Q4_K_M | 32.4 GB | 1.6 GB | ~328.6–460 tokens/s | ✓ Runs great |
| Mac Studio M4 Max | 36 GB | Q4_K_M | 32.4 GB | 1.6 GB | ~292.9–410 tokens/s | ✓ Runs great |
| MacBook Pro M4 Max | 36 GB | Q4_K_M | 32.4 GB | 1.6 GB | ~292.9–410 tokens/s | ✓ Runs great |
| MacBook Pro M3 Pro | 36 GB | Q4_K_M | 32.4 GB | 1.6 GB | ~107.1–150 tokens/s | ✓ Runs great |
| MacBook Pro M3 Max | 36 GB | Q4_K_M | 32.4 GB | 1.6 GB | ~214.3–300 tokens/s | ✓ Runs great |
| Mac mini M6 | 32 GB | Q4_K_M | 28.8 GB | 1.6 GB | ~121.4–170 tokens/s | ✓ Runs great |
| Mac mini M5 Pro | 32 GB | Q4_K_M | 28.8 GB | 1.6 GB | ~219.3–307 tokens/s | ✓ Runs great |
| MacBook Air M5 | 32 GB | Q4_K_M | 28.8 GB | 1.6 GB | ~91.8–126.8 tokens/s | ✓ Runs great |
| MacBook Air M4 | 32 GB | Q4_K_M | 28.8 GB | 1.6 GB | ~72–99.4 tokens/s | ✓ Runs great |
| Mac mini M4 | 32 GB | Q4_K_M | 28.8 GB | 1.6 GB | ~85.7–120 tokens/s | ✓ Runs great |
| Mac mini M6 | 24 GB | Q4_K_M | 21 GB | 1.6 GB | ~121.4–170 tokens/s | ✓ Runs great |
| Mac mini M5 Pro | 24 GB | Q4_K_M | 21 GB | 1.6 GB | ~219.3–307 tokens/s | ✓ Runs great |
| MacBook Air M5 | 24 GB | Q4_K_M | 21 GB | 1.6 GB | ~91.8–126.8 tokens/s | ✓ Runs great |
| MacBook Pro M5 Pro | 24 GB | Q4_K_M | 21 GB | 1.6 GB | ~219.3–307 tokens/s | ✓ Runs great |
| MacBook Air M4 | 24 GB | Q4_K_M | 21 GB | 1.6 GB | ~72–99.4 tokens/s | ✓ Runs great |
| Mac mini M4 | 24 GB | Q4_K_M | 21 GB | 1.6 GB | ~85.7–120 tokens/s | ✓ Runs great |
| Mac mini M4 Pro | 24 GB | Q4_K_M | 21 GB | 1.6 GB | ~195–273 tokens/s | ✓ Runs great |
| MacBook Air M3 | 24 GB | Q4_K_M | 21 GB | 1.6 GB | ~60–82.9 tokens/s | ✓ Runs great |
| MacBook Pro M4 Pro | 24 GB | Q4_K_M | 21 GB | 1.6 GB | ~195–273 tokens/s | ✓ Runs great |
| MacBook Pro M3 Pro | 18 GB | Q4_K_M | 15 GB | 1.6 GB | ~107.1–150 tokens/s | ✓ Runs great |
| Mac mini M6 | 16 GB | Q4_K_M | 13 GB | 1.6 GB | ~121.4–170 tokens/s | ✓ Runs great |
| MacBook Air M5 | 16 GB | Q4_K_M | 13 GB | 1.6 GB | ~91.8–126.8 tokens/s | ✓ Runs great |
| MacBook Air M4 | 16 GB | Q4_K_M | 13 GB | 1.6 GB | ~72–99.4 tokens/s | ✓ Runs great |
| Mac mini M4 | 16 GB | Q4_K_M | 13 GB | 1.6 GB | ~85.7–120 tokens/s | ✓ Runs great |
| MacBook Air M3 | 16 GB | Q4_K_M | 13 GB | 1.6 GB | ~60–82.9 tokens/s | ✓ Runs great |
| MacBook Air M1 | 16 GB | Q4_K_M | 13 GB | 1.6 GB | ~41–56.6 tokens/s | ✓ Runs great |
| MacBook Neo A18 Pro | 8 GB | Q4_K_M | 5 GB | 1.6 GB | ~36–49.7 tokens/s | ✓ Runs great |
| MacBook Air M1 | 8 GB | Q4_K_M | 5 GB | 1.6 GB | ~41–56.6 tokens/s | ✓ Runs great |
FAQ
How much RAM do I need to run OneJev 0.8B on a phone?
At Q4_K_M, OneJev 0.8B needs ~1.4GB of usable memory (weights + KV cache + runtime). In practice that means a 6GB+ Android phone or a 6GB+ iPhone — iOS lets a single app use less of its RAM than Android does.
How fast does OneJev 0.8B run on a flagship phone?
OneJev scores typed decisions in a single forward pass. The tables estimate weight memory and generic decode throughput, not measured decision latency. A phone memory fit does not establish support for the qev workflow.
Can an iPhone run OneJev 0.8B?
OneJev is a developer decision model that needs the publisher's qev server and System One client. AICanRun has not verified an iPhone app route. Images require additional projector memory.
What is the best quantization of OneJev 0.8B for mobile?
Q4_K_M (0.7GB download) is the size/quality sweet spot of the 8 quants available. Total memory needed is ~1.4GB once the KV cache and runtime are counted — the download size alone understates it.
How many phones can run OneJev 0.8B?
OneJev scores typed decisions in a single forward pass. The tables estimate weight memory and generic decode throughput, not measured decision latency. A phone memory fit does not establish support for the qev workflow.
Which Macs can run OneJev 0.8B?
54 of the 54 exact Mac configurations we track have enough estimated working memory. Each Mac uses the recommended Q4_K_M when it fits, or the largest smaller tracked quant that fits, and separates installed unified memory, the macOS reserve, and estimated speed.
What is OneJev 0.8B good for on a phone?
OneJev is a developer decision model that needs the publisher's qev server and System One client. AICanRun has not verified an iPhone app route. Images require additional projector memory.