Orca 2 13B on Intel Celeron J4125 / J4105 NAS (4 GB)
Can the Intel Celeron J4125 / J4105 NAS (4 GB) run Orca 2 13B?
No, it doesn’t fit
No. Orca 2 13B needs about 9.3 GB even at Q2_K; the Intel Celeron J4125 / J4105 NAS (4 GB) has 2.0 GB usable.
Download Orca 2 13B
Recommended: 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 orca2:13b-q2_KQuantized 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/QuantFactory/Orca-2-13b-GGUF (opens in a new tab)
ollama run hf.co/QuantFactory/Orca-2-13b-GGUF:Q2_KOriginal weights · Hugging Face
Full-precision files from Microsoft, 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 | 2.6 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Memory use | 0.0 / 15 | |
| Match score | 2.6 / 100 |
Every quantization on the Intel Celeron J4125 / J4105 NAS (4 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 9.3 GB | 2.0 GB | — | Won't run | 19Basic quality (D) · 19 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 2/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q3_K_M | 10.5 GB | 2.0 GB | — | Won't run | 23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q4_K_M | 12.1 GB | 2.0 GB | — | Won't run | 26Basic quality (D) · 26 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q5_K_M | 13.4 GB | 2.0 GB | — | Won't run | 27Basic quality (D) · 27 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q6_K | 14.8 GB | 2.0 GB | — | Won't run | 27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q8_0 | 17.9 GB | 2.0 GB | — | Won't run | 28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
F16 | 30.2 GB | 2.0 GB | — | Won't run | 28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 3/100 (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.
Hardware that can run it
-
28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 3090
-
28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4090
-
28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 7900 XTX
-
26Basic quality (D) · 26 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.
AMD Radeon RX 9070 XT
-
26Basic quality (D) · 26 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.
NVIDIA GeForce RTX 4070 Ti SUPER
-
26Basic quality (D) · 26 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.
NVIDIA GeForce RTX 4080 SUPER
Models that do run on the Intel Celeron J4125 / J4105 NAS (4 GB)
- 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. LFM3 1.7B
- 35Basic quality (D) · 35 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. PaddleOCR-VL 1.6 0.9B
- 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. LFM3-VL 2B
- 38Basic quality (D) · 38 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. MiniCPM-V 4.7 1B
- 29Basic quality (D) · 29 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-OCR 1.0 1.3B
Quick answers
How much memory does Orca 2 13B need on the Intel Celeron J4125 / J4105 NAS 4GB?
Even at Q2_K it needs about 9.3 GB; the Intel Celeron J4125 / J4105 NAS 4GB has 2.0 GB usable.
What can the Intel Celeron J4125 / J4105 NAS 4GB run instead?
LFM3 1.7B, PaddleOCR-VL 1.6 0.9B and LFM3-VL 2B run best on it; the page lists more, each with its speed.
What hardware can run Orca 2 13B?
RTX 3090 24GB, RTX 4090 24GB and RX 7900 XTX 24GB run it; the page lists more, each with its speed.
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.