NorthCUA Nano on AMD Ryzen 5 PRO 8640U NAS (8 GB)
Can the AMD Ryzen 5 PRO 8640U NAS (8 GB) run NorthCUA Nano?
Yes, it runs well (tight fit)
Runs well (tight fit). At Q2_K it needs about 5.0 GB of 5.2 GB usable, with an estimated speed of 11.4 tok/s.
- Best quant
Q2_K- Generation speed
- 11.4 tok/s
- Prompt processing
- 23.9 tok/s
- First token (1K prompt)
- 42.8 s
- Largest safe context
- 12K
Best app to run it on the AMD Ryzen 5 PRO 8640U NAS (8 GB)
On Linux
- Usually the first to support new model architectures.
llama-server -hf mradermacher/NorthCUA-Nano-GGUF:Q2_KDownload NorthCUA Nano
Recommended for the AMD Ryzen 5 PRO 8640U NAS (8 GB): Q2_K. Every other quantization has its own download link in the table below.
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
Download the Q2_K file (opens in a new tab)
huggingface.co/mradermacher/NorthCUA-Nano-GGUF (opens in a new tab)
ollama run hf.co/mradermacher/NorthCUA-Nano-GGUF:Q2_KOriginal weights · Hugging Face
Full-precision files from beipo-ai, 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 | 16.4 / 45 | |
|---|---|---|
| Memory fit | 24.0 / 25 | |
| Speed | 8.0 / 15 | |
| Memory use | 15.0 / 15 | |
| Match score | 63.4 / 100 |
Every quantization on the AMD Ryzen 5 PRO 8640U NAS (8 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 5.0 GB | 5.2 GB | 11.4 tok/s | Runs welltight fit | 36Basic quality (D) · 36 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q3_K_M | 5.9 GB | 5.2 GB | 7.6 tok/s | Slowfar over memory limit | 43Fair quality (C) · 43 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q4_K_M | 7.0 GB | 5.2 GB | — | Won't run | 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q5_K_M | 8.0 GB | 5.2 GB | — | Won't run | 50Fair quality (C) · 50 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q6_K | 9.0 GB | 5.2 GB | — | Won't run | 51Fair quality (C) · 51 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q8_0 | 11.3 GB | 5.2 GB | — | Won't run | 52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
F16 | 20.1 GB | 5.2 GB | — | Won't run | 52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 7/100 (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
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52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 Ti SUPER
-
52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4080 SUPER
-
52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5070 Ti
-
52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5080
-
52Fair quality (C) · 52 of 100: how capable the model is at F16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5090
-
51Fair quality (C) · 51 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 SUPER
Quick answers
How much memory does NorthCUA Nano need on the AMD Ryzen 5 PRO 8640U NAS 8GB?
At Q2_K it needs about 5.0 GB. The AMD Ryzen 5 PRO 8640U NAS 8GB has 5.2 GB usable.
How fast is NorthCUA Nano on the AMD Ryzen 5 PRO 8640U NAS 8GB?
About 11.4 tok/s at Q2_K, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of NorthCUA Nano should I use on the AMD Ryzen 5 PRO 8640U NAS 8GB?
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.