GLM-5.3 Flash (320B-A18B) on Intel Xeon E3-1200 v5 NAS (16 GB)
Can the Intel Xeon E3-1200 v5 NAS (16 GB) run GLM-5.3 Flash (320B-A18B)?
No, it doesn’t fit
No. GLM-5.3 Flash (320B-A18B) needs about 130 GB even at Q2_K; the Intel Xeon E3-1200 v5 NAS (16 GB) has 12.0 GB usable.
Download GLM-5.3 Flash (320B-A18B)
Recommended: Q2_K. Every other quantization has its own download link in the table below.
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
Download the Q2_K (UD-Q2_K_XL) files (opens in a new tab)
huggingface.co/unsloth/GLM-5.3-Flash-GGUF (opens in a new tab)
ollama run hf.co/unsloth/GLM-5.3-Flash-GGUFOriginal weights · Hugging Face
Full-precision files from Zhipu AI, for fine-tuning, vLLM, Transformers.
Official repo · GitHub
Reference code, inference scripts and docs from Zhipu AI. The weights themselves download from Hugging Face.
github.com/zai-org/GLM-5 (opens in a new tab)
git clone https://github.com/zai-org/GLM-5How 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 | 9.2 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Memory use | 0.0 / 15 | |
| Match score | 9.2 / 100 |
Every quantization on the Intel Xeon E3-1200 v5 NAS (16 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 130 GB | 12.0 GB | — | Won't run | 67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (UD-Q2_K_XL) · folder (opens in a new tab) |
Q3_K_M | 159 GB | 12.0 GB | — | Won't run | 81Great quality (A) · 81 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (UD-Q3_K_XL) · folder (opens in a new tab) |
Q4_K_M | 198 GB | 12.0 GB | — | Won't run | 92Excellent quality (A+) · 92 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (UD-Q4_K_XL) · folder (opens in a new tab) |
Q5_K_M | 230 GB | 12.0 GB | — | Won't run | 93Excellent quality (A+) · 93 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (UD-Q5_K_XL) · folder (opens in a new tab) |
Q6_K | 265 GB | 12.0 GB | — | Won't run | 95Excellent quality (A+) · 95 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (UD-Q6_K_XL) · folder (opens in a new tab) |
Q8_0 | 342 GB | 12.0 GB | — | Won't run | 96Excellent quality (A+) · 96 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 13/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
F16 | 644 GB | 12.0 GB | — | Won't run | 96Excellent quality (A+) · 96 of 100: how capable the model is at F16, whatever it runs on. Match score 13/100 (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
-
92Excellent quality (A+) · 92 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (512 GB)
-
81Great quality (A) · 81 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (256 GB)
-
67Good quality (B) · 67 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
Apple M2 Ultra (192 GB)
-
95Excellent quality (A+) · 95 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 98/100 (quality, fit, speed and memory use) sets the ranking.
Apple M5 Ultra (512 GB)
-
93Excellent quality (A+) · 93 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking.
AMD Instinct MI350X
-
92Excellent quality (A+) · 92 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.
AMD Instinct MI325X
Models that do run on the Intel Xeon E3-1200 v5 NAS (16 GB)
- 66Good quality (B) · 66 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. Mellum2.1 Thinking (12B-A2.5B)
- 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. Maple Preview (20B-A1B)
- 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. Nemotron 3.5 Bolt E4B
- 67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 E4B
- 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. K2 Horizon 7B
Quick answers
How much memory does GLM-5.3 Flash (320B-A18B) need on the Intel Xeon E3-1200 v5 NAS 16GB?
Even at Q2_K it needs about 130 GB; the Intel Xeon E3-1200 v5 NAS 16GB has 12.0 GB usable.
What can the Intel Xeon E3-1200 v5 NAS 16GB run instead?
Mellum2.1 Thinking (12B-A2.5B), Maple Preview (20B-A1B) and Nemotron 3.5 Bolt E4B run best on it; the page lists more, each with its speed.
What hardware can run GLM-5.3 Flash (320B-A18B)?
M3 Ultra 512GB, M3 Ultra 256GB and M2 Ultra 192GB 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.