Pixtral Large 124B (2411) on AMD Ryzen AI 9 HX PRO 370 / 375 NAS (96 GB)
Can the AMD Ryzen AI 9 HX PRO 370 / 375 NAS (96 GB) run Pixtral Large 124B (2411)?
Barely: it runs very slowly (tight fit)
Very slow (tight fit). At Q3_K_M it needs about 70.1 GB of 72.0 GB usable, with an estimated speed of 1.2 tok/s.
- Best quant
Q3_K_M- Generation speed
- 1.2 tok/s
- Prompt processing
- 144 tok/s
- First token (1K prompt)
- 7.1 s
- Largest safe context
- 13K
Download Pixtral Large 124B (2411)
Original weights · Hugging Face
Full-precision files from Mistral AI, for fine-tuning, vLLM, Transformers.
huggingface.co/mistralai/Pixtral-Large-Instruct-2411 (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 | 29.5 / 45 | |
|---|---|---|
| Memory fit | 24.0 / 25 | |
| Speed | 2.6 / 15 | |
| Memory use | 15.0 / 15 | |
| Match score | 71.1 / 100 |
Every quantization on the AMD Ryzen AI 9 HX PRO 370 / 375 NAS (96 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 58.9 GB | 72.0 GB | 1.5 tok/s | Very slow | 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q3_K_M | 70.1 GB | 72.0 GB | 1.2 tok/s | Very slowtight fit | 65Good quality (B) · 65 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q4_K_M | 85.0 GB | 72.0 GB | 0.8 tok/s | Very slowfar over GPU memory limit | 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q5_K_M | 97.4 GB | 72.0 GB | — | Won't run | 75Great quality (A) · 75 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. | All files (opens in a new tab) |
Q6_K | 111 GB | 72.0 GB | — | Won't run | 77Great quality (A) · 77 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. | All files (opens in a new tab) |
Q8_0 | 141 GB | 72.0 GB | — | Won't run | 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
F16 | 257 GB | 72.0 GB | — | Won't run | 78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 10/100 (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
-
74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX PRO 6000 Blackwell
-
54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
Apple M2 Ultra (192 GB)
-
54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (256 GB)
-
54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (512 GB)
-
78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA B200
-
75Great quality (A) · 75 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA H200 141GB SXM
Quick answers
How much memory does Pixtral Large 124B (2411) need on the AMD Ryzen AI 9 HX PRO 370 / 375 NAS 96GB?
At Q3_K_M it needs about 70.1 GB. The AMD Ryzen AI 9 HX PRO 370 / 375 NAS 96GB has 72.0 GB usable.
How fast is Pixtral Large 124B (2411) on the AMD Ryzen AI 9 HX PRO 370 / 375 NAS 96GB?
About 1.2 tok/s at Q3_K_M, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of Pixtral Large 124B (2411) should I use on the AMD Ryzen AI 9 HX PRO 370 / 375 NAS 96GB?
Q3_K_M. 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.