StarCoder 15B needs ~31.4 GB VRAM. Radeon Pro W7900 48GB has 48.0 GB. With Q5_K_M quantization, expect ~48 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
48.1 tok/s
TTFT
4021 ms
Safe context
8K
Memory
31.4 GB / 48.0 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 | A | Runs well | 48.1 tok/s | 2193 ms | 8K |
| Coding | A | Runs well | 48.1 tok/s | 4021 ms | 8K |
| Agentic Coding | A | Runs with offload | 48.1 tok/s | 5849 ms | 8K |
| Reasoning | A | Runs well | 48.1 tok/s | 4752 ms | 8K |
| RAG | A | Runs with offload | 48.1 tok/s | 7311 ms | 8K |
How StarCoder 15B (15B params) fits at each quantization level on Radeon Pro W7900 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | B67 |
Q3_K_S | 3 | 7.4 GB | Low | B67 |
NVFP4 | 4 |
Copy-paste commands to run StarCoder 15B on your machine.
Run
lms load starcoder && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 77.1 tok/s | ||
| 27B | S | 33.4 tok/s |
Yes, Radeon Pro W7900 48GB can run StarCoder 15B with a A grade (Runs well). Expected decode speed: 48.1 tok/s.
StarCoder 15B (15B parameters) requires approximately 31.4 GB of memory with Q5_K_M quantization.
The recommended quantization for StarCoder 15B is Q5_K_M, which balances quality and memory efficiency.
On Radeon Pro W7900 48GB, StarCoder 15B achieves approximately 48.1 tokens per second decode speed with a time-to-first-token of 4021ms using Q5_K_M quantization.
For coding workloads, StarCoder 15B on Radeon Pro W7900 48GB receives a A grade with 48.1 tok/s and 8K context.
On Radeon Pro W7900 48GB, StarCoder 15B can safely use up to 8K tokens of context. The model's official context limit is 8K, 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/starcoder-15b-on-radeon-pro-w7900-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| B68 |
Q4_K_M | 4 | 9.2 GB | Medium | B68 |
Q5_K_M | 5 | 10.8 GB | High | B68 |
Q6_K | 6 | 12.3 GB | High | B69 |
Q8_0 | 8 | 16.1 GB | Very High | B70 |
F16Best for your GPU | 16 | 30.7 GB | Maximum | A73 |
| 27B | S | 33.5 tok/s |
| 35B | S | 64.8 tok/s |
| 30B | S | 79.7 tok/s |