LLaVA 1.5 13B on Intel Xeon D-1600 series NAS (128 GB)
Can the Intel Xeon D-1600 series NAS (128 GB) run LLaVA 1.5 13B?
Yes, but slowly
Slow. At Q2_K it needs about 18.3 GB of 113 GB usable, with an estimated speed of 3.6 tok/s.
- Best quant
Q2_K- Generation speed
- 3.6 tok/s
- Prompt processing
- 8.4 tok/s
- First token (1K prompt)
- 121.5 s
- Largest safe context
- 4K
Best app to run it on the Intel Xeon D-1600 series NAS (128 GB)
On Linux
- One command with Ollama’s own build of this model.
- Serves an OpenAI-compatible API that other apps and coding tools can use.
ollama run llava:13b-v1.5-q2_KDownload LLaVA 1.5 13B
Recommended for the Intel Xeon D-1600 series NAS (128 GB): Q2_K. Every other quantization has its own download link in the table below.
Quickest · Ollama
One command downloads a ready-to-run version and starts a chat.
ollama run llava:13b-v1.5-q2_KOriginal weights · Hugging Face
Full-precision files from LLaVA, for fine-tuning, vLLM, Transformers.
huggingface.co/liuhaotian/llava-v1.5-13b (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 | 6.9 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 4.5 / 15 | |
| Memory use | 3.8 / 15 | |
| Match score | 40.2 / 100 |
Every quantization on the Intel Xeon D-1600 series NAS (128 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 18.3 GB | 113 GB | 3.6 tok/s | Slow | 15Basic quality (D) · 15 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 40/100 (quality, fit, speed and memory use) sets the ranking. | |
Q3_K_M | 19.5 GB | 113 GB | 2.9 tok/s | Very slow | 18Basic quality (D) · 18 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 41/100 (quality, fit, speed and memory use) sets the ranking. | |
Q4_K_M | 21.1 GB | 113 GB | 2.2 tok/s | Very slow | 20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking. | |
Q5_K_M | 22.4 GB | 113 GB | 1.8 tok/s | Very slow | 21Basic quality (D) · 21 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking. | |
Q6_K | 23.9 GB | 113 GB | 1.5 tok/s | Very slow | 21Basic quality (D) · 21 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking. | |
Q8_0 | 27.1 GB | 113 GB | 1.1 tok/s | Very slow | 22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking. | |
F16 | 39.7 GB | 113 GB | 0.5 tok/s | Very slow | 22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 44/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
Memory figures assume 4K of context. Longer conversations or documents grow the KV cache.
Other hardware that runs it
-
22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 3090
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22Basic quality (D) · 22 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4090
-
21Basic quality (D) · 21 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 7900 XTX
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20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 9070 XT
-
20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 Ti SUPER
-
20Basic quality (D) · 20 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4080 SUPER
Quick answers
How much memory does LLaVA 1.5 13B need on the Intel Xeon D-1600 series NAS 128GB?
At Q2_K it needs about 18.3 GB. The Intel Xeon D-1600 series NAS 128GB has 113 GB usable.
How fast is LLaVA 1.5 13B on the Intel Xeon D-1600 series NAS 128GB?
About 3.6 tok/s at Q2_K, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of LLaVA 1.5 13B should I use on the Intel Xeon D-1600 series NAS 128GB?
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.