DeepSeek R1 Distill 8B needs ~8.8 GB VRAM. GTX 1080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~63 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
62.9 tok/s
TTFT
3078 ms
Safe context
33K
Memory
8.8 GB / 11.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 62.9 tok/s | 1679 ms | 33K |
| Coding | A | Runs well | 62.9 tok/s | 3078 ms | 33K |
| Agentic Coding | B | Runs with offload | 62.9 tok/s | 4477 ms | 33K |
| Reasoning | A | Runs well | 62.9 tok/s | 3637 ms | 33K |
| RAG | B | Runs with offload | 62.9 tok/s | 5596 ms | 33K |
How DeepSeek R1 Distill 8B (8B params) fits at each quantization level on GTX 1080 Ti 11GB (11.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | B67 |
Q3_K_S | 3 | 3.9 GB | Low | B68 |
NVFP4 | 4 | 4.5 GB | Medium | B69 |
Q4_K_M | 4 | 4.9 GB | Medium | B69 |
Q5_K_M | 5 | 5.8 GB | High | B69 |
Q6_KBest for your GPU | 6 | 6.6 GB | High | B69 |
Q8_0 | 8 | 8.6 GB | Very High | F0 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Copy-paste commands to run DeepSeek R1 Distill 8B on your machine.
Run
ollama run deepseek-r1:8bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 9B | S | 55.9 tok/s | ||
| 14B | A | 18.3 tok/s | ||
| 14B | B | 18.2 tok/s | ||
| 9B | A | 55.9 tok/s | ||
| 9B | A | 56.9 tok/s |
Yes, GTX 1080 Ti 11GB can run DeepSeek R1 Distill 8B with a A grade (Runs well). Expected decode speed: 62.9 tok/s.
DeepSeek R1 Distill 8B (8B parameters) requires approximately 8.8 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 Distill 8B is Q4_K_M, which balances quality and memory efficiency.
On GTX 1080 Ti 11GB, DeepSeek R1 Distill 8B achieves approximately 62.9 tokens per second decode speed with a time-to-first-token of 3078ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill 8B on GTX 1080 Ti 11GB receives a A grade with 62.9 tok/s and 33K context.
On GTX 1080 Ti 11GB, DeepSeek R1 Distill 8B can safely use up to 33K tokens of context. The model's official context limit is 33K, 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/deepseek-r1-distill-8b-on-gtx-1080-ti-11gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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