Ling 3.0 Flash (127B-A5B) on Intel Celeron J6412 / Atom x6425E NAS (16 GB)
Can the Intel Celeron J6412 / Atom x6425E NAS (16 GB) run Ling 3.0 Flash (127B-A5B)?
No, it doesn’t fit
No. Ling 3.0 Flash (127B-A5B) needs about 53.0 GB even at Q2_K; the Intel Celeron J6412 / Atom x6425E NAS (16 GB) has 12.0 GB usable.
Download Ling 3.0 Flash (127B-A5B)
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/inclusionAI/Ling-3.0-flash-GGUF (opens in a new tab)
ollama run hf.co/inclusionAI/Ling-3.0-flash-GGUFOriginal weights · Hugging Face
Full-precision files from Ant Group (inclusionAI), for fine-tuning, vLLM, Transformers.
huggingface.co/inclusionAI/Ling-3.0-flash (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 | 7.7 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Memory use | 0.0 / 15 | |
| Match score | 7.7 / 100 |
Every quantization on the Intel Celeron J6412 / Atom x6425E NAS (16 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 53.0 GB | 12.0 GB | — | Won't run | 57Good quality (B) · 57 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q3_K_M | 64.4 GB | 12.0 GB | — | Won't run | 68Good quality (B) · 68 of 100: how capable the model is at Q3_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) |
Q4_K_M | 79.7 GB | 12.0 GB | — | Won't run | 77Great quality (A) · 77 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
Q5_K_M | 92.5 GB | 12.0 GB | — | Won't run | 79Great quality (A) · 79 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
Q6_K | 106 GB | 12.0 GB | — | Won't run | 81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
Q8_0 | 137 GB | 12.0 GB | — | Won't run | 82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
F16 | 257 GB | 12.0 GB | — | Won't run | 82Great quality (A) · 82 of 100: how capable the model is at F16, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (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
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82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (256 GB)
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81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.
Apple M2 Ultra (192 GB)
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81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GB10 (128 GB)
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77Great quality (A) · 77 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX Spark N1X (6144-core GPU) (128 GB)
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77Great quality (A) · 77 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
AMD Ryzen AI Max+ 395 (128 GB)
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77Great quality (A) · 77 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
Apple M4 Max (128 GB)
Models that do run on the Intel Celeron J6412 / Atom x6425E NAS (16 GB)
- 79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. K2 Horizon 7B
- 78Great quality (A) · 78 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 12B
- 77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. MiMo V2.6 Distill Qwen 9B
- 77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. SenseNova Loop 9B Preview
- 76Great quality (A) · 76 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.5 9B
Quick answers
How much memory does Ling 3.0 Flash (127B-A5B) need on the Intel Celeron J6412 / Atom x6425E NAS 16GB?
Even at Q2_K it needs about 53.0 GB; the Intel Celeron J6412 / Atom x6425E NAS 16GB has 12.0 GB usable.
What can the Intel Celeron J6412 / Atom x6425E NAS 16GB run instead?
K2 Horizon 7B, Gemma 4 12B and MiMo V2.6 Distill Qwen 9B run best on it; the page lists more, each with its speed.
What hardware can run Ling 3.0 Flash (127B-A5B)?
M3 Ultra 256GB, M2 Ultra 192GB and NVIDIA GB10 128GB 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.