starcoder2 15b i1 needs ~18.2 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~122 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
121.7 tok/s
TTFT
1590 ms
Safe context
433K
Memory
18.2 GB / 64.0 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 | C | Runs well | 121.7 tok/s | 867 ms | 433K |
| Coding | C | Runs well | 121.7 tok/s | 1590 ms | 433K |
| Agentic Coding | C | Runs well | 121.7 tok/s | 2313 ms | 433K |
| Reasoning | C | Runs well | 121.7 tok/s | 1880 ms | 433K |
| RAG | C | Runs well | 121.7 tok/s | 2892 ms | 433K |
How starcoder2 15b i1 (15B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | C40 |
Q3_K_S | 3 | 7.4 GB | Low | C40 |
NVFP4 | 4 |
Copy-paste commands to run starcoder2 15b i1 on your machine.
Run
lms load hf-mradermacher--starcoder2-15b-i1-gguf && lms server startYes, AMD Instinct MI210 64GB can run starcoder2 15b i1 with a C grade (Runs well). Expected decode speed: 121.7 tok/s.
starcoder2 15b i1 (15B parameters) requires approximately 18.2 GB of memory with Q4_K_M quantization.
The recommended quantization for starcoder2 15b i1 is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI210 64GB, starcoder2 15b i1 achieves approximately 121.7 tokens per second decode speed with a time-to-first-token of 1590ms using Q4_K_M quantization.
For coding workloads, starcoder2 15b i1 on AMD Instinct MI210 64GB receives a C grade with 121.7 tok/s and 433K context.
On AMD Instinct MI210 64GB, starcoder2 15b i1 can safely use up to 433K tokens of context. The model's official context limit is —, 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/hf-mradermacher--starcoder2-15b-i1-gguf-on-instinct-mi210-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
8.4 GB |
| Medium |
| C41 |
Q4_K_M | 4 | 9.2 GB | Medium | C41 |
Q5_K_M | 5 | 10.8 GB | High | C41 |
Q6_K | 6 | 12.3 GB | High | C41 |
Q8_0 | 8 | 16.1 GB | Very High | C42 |
F16Best for your GPU | 16 | 30.7 GB | Maximum | C46 |