Mistral Small 4 119B needs ~91.7 GB VRAM. AMD Instinct MI250X 128GB has 128.0 GB. With Q4_K_M quantization, expect ~109 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
108.8 tok/s
TTFT
1779 ms
Safe context
124K
Memory
91.7 GB / 128.0 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 | 108.8 tok/s | 971 ms | 124K |
| Coding | S | Runs well | 108.8 tok/s | 1779 ms | 124K |
| Agentic Coding | S | Runs well | 108.8 tok/s | 2588 ms | 124K |
| Reasoning | S | Runs well | 108.8 tok/s | 2103 ms | 124K |
| RAG | S | Runs well | 108.8 tok/s | 3235 ms | 124K |
How Mistral Small 4 119B (119B params) fits at each quantization level on AMD Instinct MI250X 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 46.4 GB | Low | A85 |
Q3_K_S | 3 | 58.3 GB | Low | S87 |
NVFP4 | 4 |
Copy-paste commands to run Mistral Small 4 119B on your machine.
Run
lms load Mistral-Small-4-119B-2603 && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | S | 36.2 tok/s | ||
| 122B | S |
Yes, AMD Instinct MI250X 128GB can run Mistral Small 4 119B with a S grade (Runs well). Expected decode speed: 108.8 tok/s.
Mistral Small 4 119B (119B parameters) requires approximately 91.7 GB of memory with Q4_K_M quantization.
The recommended quantization for Mistral Small 4 119B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI250X 128GB, Mistral Small 4 119B achieves approximately 108.8 tokens per second decode speed with a time-to-first-token of 1779ms using Q4_K_M quantization.
For coding workloads, Mistral Small 4 119B on AMD Instinct MI250X 128GB receives a S grade with 108.8 tok/s and 124K context.
On AMD Instinct MI250X 128GB, Mistral Small 4 119B can safely use up to 124K tokens of context. The model's official context limit is 256K, 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/mistral-small-4-119b-on-instinct-mi250x-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
66.6 GB |
| Medium |
| S88 |
Q4_K_M | 4 | 72.6 GB | Medium | S88 |
Q5_K_M | 5 | 85.7 GB | High | S88 |
Q6_KBest for your GPU | 6 | 97.6 GB | High | S88 |
Q8_0 | 8 | 127.3 GB | Very High | F0 |
F16 | 16 | 244.0 GB | Maximum | F0 |
| 100.3 tok/s |