Unlimited OCR 2 (3B-A0.6B) on Intel Xeon D-1500 series NAS (128 GB)
Can the Intel Xeon D-1500 series NAS (128 GB) run Unlimited OCR 2 (3B-A0.6B)?
Yes, it runs great
Runs great. At Q5_K_M it needs about 12.5 GB of 113 GB usable, with an estimated speed of 38.1 tok/s.
- Best quant
Q5_K_M- Generation speed
- 38.1 tok/s
- Prompt processing
- 229 tok/s
- First token (1K prompt)
- 4.5 s
- Largest safe context
- 128K
Download Unlimited OCR 2 (3B-A0.6B)
Original weights · Hugging Face
Full-precision files from Baidu, for fine-tuning, vLLM, Transformers.
Official repo · GitHub
Reference code, inference scripts and docs from Baidu. The weights themselves download from Hugging Face.
github.com/baidu/Unlimited-OCR (opens in a new tab)
git clone https://github.com/baidu/Unlimited-OCRHow 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 | 19.2 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 14.6 / 15 | |
| Memory use | 2.6 / 15 | |
| Match score | 61.4 / 100 |
Every quantization on the Intel Xeon D-1500 series NAS (128 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 11.5 GB | 113 GB | 68.7 tok/s | Runs great | 30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q3_K_M | 11.8 GB | 113 GB | 56.3 tok/s | Runs great | 36Basic quality (D) · 36 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q4_K_M | 12.2 GB | 113 GB | 45.2 tok/s | Runs great | 41Fair quality (C) · 41 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. | All files (opens in a new tab) |
Q5_K_M | 12.5 GB | 113 GB | 38.1 tok/s | Runs great | 42Fair quality (C) · 42 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q6_K | 12.9 GB | 113 GB | 32.6 tok/s | Runs great | 43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q8_0 | 13.7 GB | 113 GB | 24.6 tok/s | Runs well | 44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
F16 | 16.8 GB | 113 GB | 11.9 tok/s | Runs well | 44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 56/100 (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
-
44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.
Apple M4 (16 GB)
-
44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.
Intel Arc B580
-
44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 3060 12GB
-
44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 SUPER
-
44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4060
-
44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
Apple M4 (24 GB)
Quick answers
How much memory does Unlimited OCR 2 (3B-A0.6B) need on the Intel Xeon D-1500 series NAS 128GB?
At Q5_K_M it needs about 12.5 GB. The Intel Xeon D-1500 series NAS 128GB has 113 GB usable.
How fast is Unlimited OCR 2 (3B-A0.6B) on the Intel Xeon D-1500 series NAS 128GB?
About 38.1 tok/s at Q5_K_M, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of Unlimited OCR 2 (3B-A0.6B) should I use on the Intel Xeon D-1500 series NAS 128GB?
Q5_K_M. 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.