Spark-X2.6 4B on Intel Atom C5125 NAS (64 GB)
Can the Intel Atom C5125 NAS (64 GB) run Spark-X2.6 4B?
Yes, but slowly
Slow. At Q6_K it needs about 8.6 GB of 54.4 GB usable, with an estimated speed of 3.4 tok/s.
- Best quant
Q6_K- Generation speed
- 3.4 tok/s
- Prompt processing
- 18.2 tok/s
- First token (1K prompt)
- 56.1 s
- Largest safe context
- 1,024K
Best app to run it on the Intel Atom C5125 NAS (64 GB)
On Linux
- Usually the first to support new model architectures.
llama-server -hf XHToken/Spark-X2.6-4B-GGUF:Q6_KDownload Spark-X2.6 4B
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/XHToken/Spark-X2.6-4B-GGUF (opens in a new tab)
ollama run hf.co/XHToken/Spark-X2.6-4B-GGUFOriginal weights · Hugging Face
Full-precision files from SparkLLM, for fine-tuning, vLLM, Transformers.
Official repo · GitHub
Reference code, inference scripts and docs from SparkLLM. The weights themselves download from Hugging Face.
github.com/XHToken/Spark-X2.6 (opens in a new tab)
git clone https://github.com/XHToken/Spark-X2.6How 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 | 29.4 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 4.4 / 15 | |
| Memory use | 3.7 / 15 | |
| Match score | 62.4 / 100 |
Every quantization on the Intel Atom C5125 NAS (64 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 6.9 GB | 54.4 GB | 8.0 tok/s | Slow | 46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q3_K_M | 7.3 GB | 54.4 GB | 6.3 tok/s | Slow | 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q4_K_M | 7.8 GB | 54.4 GB | 4.9 tok/s | Slow | 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q5_K_M | 8.2 GB | 54.4 GB | 4.0 tok/s | Slow | 64Good quality (B) · 64 of 100: how capable the model is at Q5_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) |
Q6_K | 8.6 GB | 54.4 GB | 3.4 tok/s | Slow | 65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q8_0 | 9.6 GB | 54.4 GB | 2.5 tok/s | Very slow | 66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
F16 | 13.5 GB | 54.4 GB | 1.1 tok/s | Very slow | 66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (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.
Other hardware that runs it
-
66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4060
-
66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 Ti SUPER
-
66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4080 SUPER
-
66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5070 Ti
-
66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5080
-
66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.
Intel Arc B580
Quick answers
How much memory does Spark-X2.6 4B need on the Intel Atom C5125 NAS 64GB?
At Q6_K it needs about 8.6 GB. The Intel Atom C5125 NAS 64GB has 54.4 GB usable.
How fast is Spark-X2.6 4B on the Intel Atom C5125 NAS 64GB?
About 3.4 tok/s at Q6_K, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of Spark-X2.6 4B should I use on the Intel Atom C5125 NAS 64GB?
Q6_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.