Models › Ornith-1.5-122B
Ornith-1.5-122B: VRAM needs and speed by GPU
At UD-Q4_K_XL, Ornith-1.5-122B needs about 82.7 GB of VRAM. No measured runs yet. Speeds below are estimates. Submit a run.
124.64B parameters (mixture-of-experts) · license: mit · 262,144-token context · GGUF published Oct 20, 2026 · GGUF files on Hugging Face
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| UD-IQ1_M | 40.4 GB | 43.4 GB | 48 GB cards |
| UD-IQ2_XXS | 42.0 GB | 45.0 GB | 48 GB cards |
| UD-Q2_K_XL | 44.5 GB | 47.5 GB | 96 GB cards |
| UD-IQ3_XXS | 49.5 GB | 52.5 GB | 96 GB cards |
| UD-Q3_K_XL | 59.8 GB | 62.8 GB | 96 GB cards |
| UD-Q4_K_XL | 79.7 GB | 82.7 GB | 96 GB cards |
| UD-Q5_K_XL | 94.6 GB | 97.6 GB | multi-GPU / large unified memory |
| UD-Q6_K_XL | 114.2 GB | 117.2 GB | multi-GPU / large unified memory |
| Q8_0 | 132.6 GB | 135.6 GB | multi-GPU / large unified memory |
| BF16 | 249.4 GB | 252.4 GB | multi-GPU / large unified memory |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | Does not fit | |
| NVIDIA RTX 4060 Ti | Does not fit | |
| NVIDIA RTX 3090 | Does not fit | |
| NVIDIA RTX 4090 | Does not fit | |
| NVIDIA RTX 5090 | Does not fit | |
| AMD Radeon RX 7900 XTX | Does not fit | |
| Apple M4 Pro (20-core GPU) (64 GB) | UD-IQ2_XXS | 5.5 estimate |
| Apple M3 Max (40-core GPU) (64 GB) | UD-IQ2_XXS | 8.1 estimate |
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | UD-IQ3_XXS | 4.2 estimate |
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