Ornith 1.5 397B-A17B on Intel Atom C3538 / C3558 NAS (128 GB)
Can the Intel Atom C3538 / C3558 NAS (128 GB) run Ornith 1.5 397B-A17B?
No, it doesn’t fit
No. Ornith 1.5 397B-A17B needs about 171 GB even at Q2_K; the Intel Atom C3538 / C3558 NAS (128 GB) has 113 GB usable.
Download Ornith 1.5 397B-A17B
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/ornith-ai/Ornith-1.5-397B-GGUF (opens in a new tab)
ollama run hf.co/ornith-ai/Ornith-1.5-397B-GGUFOriginal weights · Hugging Face
Full-precision files from DeepReinforce, for fine-tuning, vLLM, Transformers.
huggingface.co/ornith-ai/Ornith-1.5-397B (opens in a new tab)
How it’s rated
Match score
To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.
| Model quality | 8.9 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Memory use | 0.0 / 15 | |
| Match score | 8.9 / 100 |
Every quantization on the Intel Atom C3538 / C3558 NAS (128 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 171 GB | 113 GB | — | Won't run | 65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q3_K_M | 208 GB | 113 GB | — | Won't run | 78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q4_K_M | 256 GB | 113 GB | — | Won't run | 89Excellent quality (A+) · 89 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q5_K_M | 296 GB | 113 GB | — | Won't run | 91Excellent quality (A+) · 91 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q6_K | 341 GB | 113 GB | — | Won't run | 93Excellent quality (A+) · 93 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q8_0 | 437 GB | 113 GB | — | Won't run | 94Excellent quality (A+) · 94 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
F16 | 817 GB | 113 GB | — | Won't run | 94Excellent quality (A+) · 94 of 100: how capable the model is at F16, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.
Hardware that can run it
-
91Excellent quality (A+) · 91 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (512 GB)
-
65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (256 GB)
-
91Excellent quality (A+) · 91 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.
Apple M5 Ultra (512 GB)
-
89Excellent quality (A+) · 89 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.
AMD Instinct MI350X
-
78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.
AMD Instinct MI325X
-
78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
Models that do run on the Intel Atom C3538 / C3558 NAS (128 GB)
- 92Excellent quality (A+) · 92 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. Nemotron 3.5 Bolt 74B-A9B
- 92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. Nemotron 3.5 Super VL 120B-A12B
- 91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.5 122B-A10B
- 91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 122B-A10B
- 84Great quality (A) · 84 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. gpt-oss 120B
Quick answers
How much memory does Ornith 1.5 397B-A17B need on the Intel Atom C3538 / C3558 NAS 128GB?
Even at Q2_K it needs about 171 GB; the Intel Atom C3538 / C3558 NAS 128GB has 113 GB usable.
What can the Intel Atom C3538 / C3558 NAS 128GB run instead?
Nemotron 3.5 Bolt 74B-A9B, Nemotron 3.5 Super VL 120B-A12B and Ornith 1.5 122B-A10B run best on it; the page lists more, each with its speed.
What hardware can run Ornith 1.5 397B-A17B?
M3 Ultra 512GB, M3 Ultra 256GB and M5 Ultra 512GB run it; the page lists more, each with its speed.
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.