Baichuan M3 235B-A22B on Intel Xeon D-1700 series NAS (192 GB)
Can the Intel Xeon D-1700 series NAS (192 GB) run Baichuan M3 235B-A22B?
Yes, but slowly
Slow. At Q2_K it needs about 110 GB of 173 GB usable, with an estimated speed of 3.1 tok/s.
- Best quant
Q2_K- Generation speed
- 3.1 tok/s
- Prompt processing
- 13.2 tok/s
- First token (1K prompt)
- 77.7 s
- Largest safe context
- 40K
Best app to run it on the Intel Xeon D-1700 series NAS (192 GB)
Download Baichuan M3 235B-A22B
Recommended for the Intel Xeon D-1700 series NAS (192 GB): 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 file (opens in a new tab)
huggingface.co/mradermacher/Baichuan-M3-235B-i1-GGUF (opens in a new tab)
ollama run hf.co/mradermacher/Baichuan-M3-235B-i1-GGUF:Q2_KOriginal weights · Hugging Face
Full-precision files from Baichuan, for fine-tuning, vLLM, Transformers.
huggingface.co/baichuan-inc/Baichuan-M3-235B (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 | 26.5 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 4.2 / 15 | |
| Memory use | 14.7 / 15 | |
| Match score | 70.3 / 100 |
Every quantization on the Intel Xeon D-1700 series NAS (192 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 110 GB | 173 GB | 3.1 tok/s | Slow | 58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q3_K_M | 131 GB | 173 GB | 2.5 tok/s | Very slow | 70Great quality (A) · 70 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q4_K_M | 159 GB | 173 GB | 1.9 tok/s | Very slowtight fit | 79Great quality (A) · 79 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q5_K_M | 183 GB | 173 GB | — | Won't run | 81Great quality (A) · 81 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 (opens in a new tab) |
Q6_K | 209 GB | 173 GB | — | Won't run | 83Great quality (A) · 83 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q8_0 | 265 GB | 173 GB | — | Won't run | 84Great quality (A) · 84 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 files (opens in a new tab) |
F16 | 486 GB | 173 GB | — | Won't run | 84Great quality (A) · 84 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. | 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
-
79Great quality (A) · 79 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 M3 Ultra (256 GB)
-
70Great quality (A) · 70 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.
Apple M2 Ultra (192 GB)
-
79Great quality (A) · 79 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (512 GB)
-
58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GB10 (128 GB)
-
58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX PRO 6000 Blackwell
-
58Good quality (B) · 58 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.
Apple M4 Max (128 GB)
Quick answers
How much memory does Baichuan M3 235B-A22B need on the Intel Xeon D-1700 series NAS 192GB?
At Q2_K it needs about 110 GB. The Intel Xeon D-1700 series NAS 192GB has 173 GB usable.
How fast is Baichuan M3 235B-A22B on the Intel Xeon D-1700 series NAS 192GB?
About 3.1 tok/s at Q2_K, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of Baichuan M3 235B-A22B should I use on the Intel Xeon D-1700 series NAS 192GB?
Q2_K. 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.