DeepSeek R1 Distill 8B needs ~9.6 GB VRAM. RTX 5070 Ti 16GB has 16.0 GB. With Q4_K_M quantization, expect ~112 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
112.0 tok/s
TTFT
1729 ms
Safe context
33K
Memory
9.6 GB / 16.0 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 | 112.0 tok/s | 943 ms | 33K |
| Coding | A | Runs well | 112.0 tok/s | 1729 ms | 33K |
| Agentic Coding | A | Runs well | 112.0 tok/s | 2514 ms | 33K |
| Reasoning | A | Runs well | 112.0 tok/s | 2043 ms | 33K |
| RAG | A | Runs well | 112.0 tok/s | 3143 ms | 33K |
How DeepSeek R1 Distill 8B (8B params) fits at each quantization level on RTX 5070 Ti 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | B64 |
Q3_K_S | 3 | 3.9 GB | Low | B64 |
NVFP4 | 4 |
Copy-paste commands to run DeepSeek R1 Distill 8B on your machine.
Run
ollama run deepseek-r1:8bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen 3.5 9B | 9B | S | 112.3 tok/s | |
| Qwen 3 14B | 14B | S | 72.5 tok/s |
Yes, RTX 5070 Ti 16GB can run DeepSeek R1 Distill 8B with a A grade (Runs well). Expected decode speed: 112.0 tok/s.
DeepSeek R1 Distill 8B (8B parameters) requires approximately 9.6 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 RTX 5070 Ti 16GB, DeepSeek R1 Distill 8B achieves approximately 112.0 tokens per second decode speed with a time-to-first-token of 1729ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill 8B on RTX 5070 Ti 16GB receives a A grade with 112.0 tok/s and 33K context.
On RTX 5070 Ti 16GB, 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-rtx-5070-ti-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
4.5 GB |
| Medium |
| B65 |
Q4_K_M | 4 | 4.9 GB | Medium | B65 |
Q5_K_M | 5 | 5.8 GB | High | B66 |
Q6_K | 6 | 6.6 GB | High | B67 |
Q8_0Best for your GPU | 8 | 8.6 GB | Very High | B68 |
F16 | 16 | 16.4 GB | Maximum | F0 |
 Phi-4-reasoning-plus 14B | 14.7B | S | 68.7 tok/s |
 GPT-OSS 20B | 21B | A | 65.8 tok/s |
 Ministral 3 14B | 14B | S | 72.2 tok/s |