Raises estimated decode speed by about 44%.
Adds memory headroom for longer context windows and future model growth.
~$219 MSRP
StarCoder2 7B needs ~6.5 GB VRAM. RX 6650 XT 8GB has 8.0 GB. With Q4_K_M quantization, expect ~33 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
36.5 tok/s
TTFT
5303 ms
Safe context
16K
Memory
6.5 GB / 8.0 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 | 33.4 tok/s | 3158 ms | 16K |
| Coding | C | Runs well | 33.4 tok/s | 5789 ms | 16K |
| Agentic Coding | C | Tight fit | 33.4 tok/s | 8420 ms | 16K |
| Reasoning | C | Runs well | 33.4 tok/s | 6842 ms | 16K |
| RAG | C | Tight fit | 33.4 tok/s | 10525 ms | 16K |
How StarCoder2 7B (7B params) fits at each quantization level on RX 6650 XT 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C52 |
Q3_K_S | 3 | 3.4 GB | Low | C53 |
NVFP4 | 4 |
Copy-paste commands to run StarCoder2 7B on your machine.
Run
lms load starcoder2-7b && lms server startUpgrade options
Raises estimated decode speed by about 44%.
Adds memory headroom for longer context windows and future model growth.
~$219 MSRP
Raises estimated decode speed by about 196%.
Adds memory headroom for longer context windows and future model growth.
~$549 MSRP
Yes, RX 6650 XT 8GB can run StarCoder2 7B with a C grade (Runs well). Expected decode speed: 33.4 tok/s.
StarCoder2 7B (7B parameters) requires approximately 6.5 GB of memory with Q4_K_M quantization.
The recommended quantization for StarCoder2 7B is Q4_K_M, which balances quality and memory efficiency.
On RX 6650 XT 8GB, StarCoder2 7B achieves approximately 33.4 tokens per second decode speed with a time-to-first-token of 5789ms using Q4_K_M quantization.
For coding workloads, StarCoder2 7B on RX 6650 XT 8GB receives a C grade with 33.4 tok/s and 16K context.
On RX 6650 XT 8GB, StarCoder2 7B can safely use up to 16K tokens of context. The model's official context limit is 16K, 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/starcoder2-7b-on-rx-6650-xt-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| C53 |
Q4_K_M | 4 | 4.3 GB | Medium | C52 |
Q5_K_MBest for your GPU | 5 | 5.0 GB | High | C52 |
Q6_K | 6 | 5.7 GB | High | F0 |
Q8_0 | 8 | 7.5 GB | Very High | F0 |
F16 | 16 | 14.3 GB | Maximum | F0 |