RTX 3080 10GBBudget pick10 GB VRAM (+2)760 GB/s (+536)
B
Raises estimated decode speed by about 63%.84 tok/s decode
Raises estimated decode speed by about 63%.
Adds memory headroom for longer context windows and future model growth.
~$699 MSRP
stablelm 2 zephyr 1 6b needs ~6.4 GB VRAM. RTX 5050 8GB has 8.0 GB. With Q4_K_M quantization, expect ~51 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
51.4 tok/s
TTFT
3766 ms
Safe context
53K
Memory
6.4 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 | 51.4 tok/s | 2054 ms | 53K |
| Coding | C | Runs well | 51.4 tok/s | 3766 ms | 53K |
| Agentic Coding | C | Tight fit | 51.4 tok/s | 5478 ms | 53K |
| Reasoning | C | Runs well | 51.4 tok/s | 4451 ms | 53K |
| RAG | C | Tight fit | 51.4 tok/s | 6847 ms | 53K |
How stablelm 2 zephyr 1 6b (6B params) fits at each quantization level on RTX 5050 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.3 GB | Low | C52 |
Q3_K_S | 3 | 2.9 GB | Low | C54 |
NVFP4 | 4 | 3.4 GB | Medium | C54 |
Q4_K_M | 4 | 3.7 GB | Medium | C53 |
Q5_K_M | 5 | 4.3 GB | High | C53 |
Q6_KBest for your GPU | 6 | 4.9 GB | High | C53 |
Q8_0 | 8 | 6.4 GB | Very High | F0 |
F16 | 16 | 12.3 GB | Maximum | F0 |
Copy-paste commands to run stablelm 2 zephyr 1 6b on your machine.
Run
lms load hf-stabilityai--stablelm-2-zephyr-1-6b && lms server startUpgrade options
Yes, RTX 5050 8GB can run stablelm 2 zephyr 1 6b with a C grade (Runs well). Expected decode speed: 51.4 tok/s.
stablelm 2 zephyr 1 6b (6B parameters) requires approximately 6.4 GB of memory with Q4_K_M quantization.
The recommended quantization for stablelm 2 zephyr 1 6b is Q4_K_M, which balances quality and memory efficiency.
On RTX 5050 8GB, stablelm 2 zephyr 1 6b achieves approximately 51.4 tokens per second decode speed with a time-to-first-token of 3766ms using Q4_K_M quantization.
For coding workloads, stablelm 2 zephyr 1 6b on RTX 5050 8GB receives a C grade with 51.4 tok/s and 53K context.
On RTX 5050 8GB, stablelm 2 zephyr 1 6b can safely use up to 53K 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-stabilityai--stablelm-2-zephyr-1-6b-on-rtx-5050-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: