Qwen3-Omni 30B-A3B Instruct on Intel Celeron J4025 / J4005 NAS (6 GB)
Can the Intel Celeron J4025 / J4005 NAS (6 GB) run Qwen3-Omni 30B-A3B Instruct?
No, it doesn’t fit
No. Qwen3-Omni 30B-A3B Instruct needs about 15.8 GB even at Q2_K; the Intel Celeron J4025 / J4005 NAS (6 GB) has 3.5 GB usable.
Download Qwen3-Omni 30B-A3B Instruct
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/ggml-org/Qwen3-Omni-30B-A3B-Instruct-GGUF (opens in a new tab)
ollama run hf.co/ggml-org/Qwen3-Omni-30B-A3B-Instruct-GGUFOriginal weights · Hugging Face
Full-precision files from Alibaba, for fine-tuning, vLLM, Transformers.
huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct (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 | 6.6 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Memory use | 0.0 / 15 | |
| Match score | 6.6 / 100 |
Every quantization on the Intel Celeron J4025 / J4005 NAS (6 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 15.8 GB | 3.5 GB | — | Won't run | 49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q3_K_M | 19.0 GB | 3.5 GB | — | Won't run | 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q4_K_M | 23.2 GB | 3.5 GB | — | Won't run | 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q5_K_M | 26.7 GB | 3.5 GB | — | Won't run | 67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q6_K | 30.6 GB | 3.5 GB | — | Won't run | 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q8_0 | 39.1 GB | 3.5 GB | — | Won't run | 70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
F16 | 72.2 GB | 3.5 GB | — | Won't run | 70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 9/100 (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.
Hardware that can run it
-
70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX PRO 6000 Blackwell
-
69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.
Apple M1 Max (64 GB)
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69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.
Apple M4 Max (64 GB)
-
67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.
Apple M4 Pro (48 GB)
-
69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5090
-
70Great quality (A) · 70 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.
Apple M2 Ultra (192 GB)
Models that do run on the Intel Celeron J4025 / J4005 NAS (6 GB)
- 57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. Nemotron Labs Dory 1.0 4B
- 55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. Spark-X2.6 4B
- 52Fair quality (C) · 52 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 4B
- 51Fair quality (C) · 51 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. TMax 4B
- 50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. Agents-A1 4B
Quick answers
How much memory does Qwen3-Omni 30B-A3B Instruct need on the Intel Celeron J4025 / J4005 NAS 6GB?
Even at Q2_K it needs about 15.8 GB; the Intel Celeron J4025 / J4005 NAS 6GB has 3.5 GB usable.
What can the Intel Celeron J4025 / J4005 NAS 6GB run instead?
Nemotron Labs Dory 1.0 4B, Spark-X2.6 4B and Qwen3.5 4B run best on it; the page lists more, each with its speed.
What hardware can run Qwen3-Omni 30B-A3B Instruct?
NVIDIA RTX PRO 6000 Blackwell 96GB, M1 Max 64GB and M4 Max 64GB 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.