Magistral Small 2507 needs ~43.6 GB VRAM. AMD Instinct MI325X 256GB has 256.0 GB. With Q4_K_M quantization, expect ~299 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
321.6 tok/s
TTFT
602 ms
Safe context
131K
Memory
43.6 GB / 256.0 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 | 299.2 tok/s | 353 ms | 131K |
| Coding | S | Runs well | 299.2 tok/s | 647 ms | 131K |
| Agentic Coding | S | Runs well | 299.2 tok/s | 941 ms | 131K |
| Reasoning | S | Runs well | 299.2 tok/s | 765 ms | 131K |
| RAG | S | Runs well | 299.2 tok/s | 1177 ms | 131K |
How Magistral Small 2507 (24B params) fits at each quantization level on AMD Instinct MI325X 256GB (256.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.4 GB | Low | A78 |
Q3_K_S | 3 | 11.8 GB | Low | A78 |
NVFP4 | 4 |
Copy-paste commands to run Magistral Small 2507 on your machine.
Run
ollama run magistralYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 397B | A | 39.2 tok/s | ||
| 123B | S |
Yes, AMD Instinct MI325X 256GB can run Magistral Small 2507 with a S grade (Runs well). Expected decode speed: 299.2 tok/s.
Magistral Small 2507 (24B parameters) requires approximately 43.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Magistral Small 2507 is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI325X 256GB, Magistral Small 2507 achieves approximately 299.2 tokens per second decode speed with a time-to-first-token of 647ms using Q4_K_M quantization.
For coding workloads, Magistral Small 2507 on AMD Instinct MI325X 256GB receives a S grade with 299.2 tok/s and 131K context.
On AMD Instinct MI325X 256GB, Magistral Small 2507 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/magistral-small-2507-on-instinct-mi325x-256gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
13.4 GB |
| Medium |
| A78 |
Q4_K_M | 4 | 14.6 GB | Medium | A78 |
Q5_K_M | 5 | 17.3 GB | High | A78 |
Q6_K | 6 | 19.7 GB | High | A78 |
Q8_0 | 8 | 25.7 GB | Very High | A79 |
F16Best for your GPU | 16 | 49.2 GB | Maximum | A81 |
| 63.5 tok/s |
| 30.5B | S | 662.3 tok/s |
| 27B | S | 287.2 tok/s |
| 27B | S | 179 tok/s |