Pixtral Large 124B needs ~110.7 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With Q4_K_M quantization, expect ~84 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
84.0 tok/s
TTFT
2306 ms
Safe context
131K
Memory
110.7 GB / 288.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 84.0 tok/s | 1258 ms | 131K |
| Coding | S | Runs well | 84.0 tok/s | 2306 ms | 131K |
| Agentic Coding | S | Runs well | 84.0 tok/s | 3354 ms | 131K |
| Reasoning | S | Runs well | 84.0 tok/s | 2725 ms | 131K |
| RAG | S | Runs well | 84.0 tok/s | 4192 ms | 131K |
How Pixtral Large 124B (124B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 48.4 GB | Low | A79 |
Q3_K_S | 3 | 60.8 GB | Low | A80 |
NVFP4 | 4 | 69.4 GB | Medium | A80 |
Q4_K_M | 4 | 75.6 GB | Medium | A81 |
Q5_K_M | 5 | 89.3 GB | High | A82 |
Q6_K | 6 | 101.7 GB | High | A83 |
Q8_0Best for your GPU | 8 | 132.7 GB | Very High | A85 |
F16 | 16 | 254.2 GB | Maximum | F0 |
Copy-paste commands to run Pixtral Large 124B on your machine.
Run
lms load Pixtral-Large-Instruct-2411 && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen 3.5 397B A17B | 397B | S | 78.9 tok/s | |
 DeepSeek V4 Flash | 284B | S | 125.8 tok/s |
Yes, AMD Instinct MI350X 288GB can run Pixtral Large 124B with a S grade (Runs well). Expected decode speed: 84.0 tok/s.
Pixtral Large 124B (124B parameters) requires approximately 110.7 GB of memory with Q4_K_M quantization.
The recommended quantization for Pixtral Large 124B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI350X 288GB, Pixtral Large 124B achieves approximately 84.0 tokens per second decode speed with a time-to-first-token of 2306ms using Q4_K_M quantization.
For coding workloads, Pixtral Large 124B on AMD Instinct MI350X 288GB receives a S grade with 84.0 tok/s and 131K context.
On AMD Instinct MI350X 288GB, Pixtral Large 124B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/pixtral-large-124b-on-instinct-mi350x-288gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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