Codestral 2 25.08 needs ~19.2 GB VRAM. RTX A5500 24GB has 24.0 GB. With Q4_K_M quantization, expect ~43 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
42.9 tok/s
TTFT
4518 ms
Safe context
48K
Memory
19.2 GB / 24.0 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 | 42.9 tok/s | 2464 ms | 48K |
| Coding | S | Runs well | 42.9 tok/s | 4518 ms | 48K |
| Agentic Coding | S | Tight fit | 42.9 tok/s | 6572 ms | 48K |
| Reasoning | S | Runs well | 42.9 tok/s | 5339 ms | 48K |
| RAG | S | Tight fit | 42.9 tok/s | 8214 ms | 48K |
How Codestral 2 25.08 (22B params) fits at each quantization level on RTX A5500 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 8.6 GB | Low | A82 |
Q3_K_S | 3 | 10.8 GB | Low | A84 |
NVFP4 | 4 |
Copy-paste commands to run Codestral 2 25.08 on your machine.
Run
lms load codestral-2508 && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 90.6 tok/s | ||
| 27B | S | 39.3 tok/s |
Yes, RTX A5500 24GB can run Codestral 2 25.08 with a S grade (Runs well). Expected decode speed: 42.9 tok/s.
Codestral 2 25.08 (22B parameters) requires approximately 19.2 GB of memory with Q4_K_M quantization.
The recommended quantization for Codestral 2 25.08 is Q4_K_M, which balances quality and memory efficiency.
On RTX A5500 24GB, Codestral 2 25.08 achieves approximately 42.9 tokens per second decode speed with a time-to-first-token of 4518ms using Q4_K_M quantization.
For coding workloads, Codestral 2 25.08 on RTX A5500 24GB receives a S grade with 42.9 tok/s and 48K context.
On RTX A5500 24GB, Codestral 2 25.08 can safely use up to 48K 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/codestral-2-25.08-on-rtx-a5500-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
12.3 GB |
| Medium |
| A85 |
Q4_K_M | 4 | 13.4 GB | Medium | A84 |
Q5_K_M | 5 | 15.8 GB | High | A84 |
Q6_KBest for your GPU | 6 | 18.0 GB | High | A84 |
Q8_0 | 8 | 23.5 GB | Very High | F0 |
F16 | 16 | 45.1 GB | Maximum | F0 |
| 27B | S | 29.9 tok/s |
| 35B | A | 39 tok/s |
| 30B | S | 93.7 tok/s |