Ornith 1.5 9B on Intel Atom C5125 NAS (64 GB)
Can the Intel Atom C5125 NAS (64 GB) run Ornith 1.5 9B?
Yes, but slowly
Slow. At Q2_K it needs about 9.1 GB of 54.4 GB usable, with an estimated speed of 3.4 tok/s.
- Best quant
Q2_K- Generation speed
- 3.4 tok/s
- Prompt processing
- 7.8 tok/s
- First token (1K prompt)
- 131.8 s
- Largest safe context
- 256K
Best app to run it on the Intel Atom C5125 NAS (64 GB)
Download Ornith 1.5 9B
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/ornith-ai/Ornith-1.5-9B-GGUF (opens in a new tab)
ollama run hf.co/ornith-ai/Ornith-1.5-9B-GGUFOriginal weights · Hugging Face
Full-precision files from DeepReinforce, for fine-tuning, vLLM, Transformers.
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 | 24.3 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 4.4 / 15 | |
| Memory use | 3.9 / 15 | |
| Match score | 57.5 / 100 |
Every quantization on the Intel Atom C5125 NAS (64 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 9.1 GB | 54.4 GB | 3.4 tok/s | Slow | 53Fair quality (C) · 53 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q3_K_M | 9.9 GB | 54.4 GB | 2.7 tok/s | Very slow | 64Good quality (B) · 64 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q4_K_M | 11.1 GB | 54.4 GB | 2.1 tok/s | Very slow | 73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q5_K_M | 12.1 GB | 54.4 GB | 1.7 tok/s | Very slow | 74Great quality (A) · 74 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q6_K | 13.1 GB | 54.4 GB | 1.4 tok/s | Very slow | 76Great quality (A) · 76 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q8_0 | 15.4 GB | 54.4 GB | 1.1 tok/s | Very slow | 77Great quality (A) · 77 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
F16 | 24.5 GB | 54.4 GB | 0.5 tok/s | Very slow | 77Great quality (A) · 77 of 100: how capable the model is at F16, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) Original weights (opens in a new tab) |
Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.
Other hardware that runs it
-
77Great quality (A) · 77 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 Ti SUPER
-
77Great quality (A) · 77 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4080 SUPER
-
77Great quality (A) · 77 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5070 Ti
-
77Great quality (A) · 77 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5080
-
77Great quality (A) · 77 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5090
-
76Great quality (A) · 76 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 SUPER
Quick answers
How much memory does Ornith 1.5 9B need on the Intel Atom C5125 NAS 64GB?
At Q2_K it needs about 9.1 GB. The Intel Atom C5125 NAS 64GB has 54.4 GB usable.
How fast is Ornith 1.5 9B on the Intel Atom C5125 NAS 64GB?
About 3.4 tok/s at Q2_K, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of Ornith 1.5 9B should I use on the Intel Atom C5125 NAS 64GB?
Q2_K. Of the versions that fit, it is the one that runs best; when two run equally well, the check prefers the higher-rated one.
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.