DeepSeek R1 Distill Llama 8B needs ~8.2 GB VRAM. RTX 4070 Super 12GB has 12.0 GB. With Q4_K_M quantization, expect ~80 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
79.5 tok/s
TTFT
2434 ms
Safe context
81K
Memory
8.2 GB / 12.0 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 | B | Runs well | 79.5 tok/s | 1328 ms | 81K |
| Coding | B | Runs well | 79.5 tok/s | 2434 ms | 81K |
| Agentic Coding | B | Runs well | 79.5 tok/s | 3541 ms | 81K |
| Reasoning | B | Runs well | 79.5 tok/s | 2877 ms | 81K |
| RAG | B | Runs well | 79.5 tok/s | 4426 ms | 81K |
How DeepSeek R1 Distill Llama 8B (8B params) fits at each quantization level on RTX 4070 Super 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C50 |
Q3_K_S | 3 | 3.9 GB | Low | C51 |
NVFP4 | 4 | 4.5 GB | Medium | C51 |
Q4_K_M | 4 | 4.9 GB | Medium | C52 |
Q5_K_M | 5 | 5.8 GB | High | C53 |
Q6_K | 6 | 6.6 GB | High | C52 |
Q8_0Best for your GPU | 8 | 8.6 GB | Very High | C52 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Copy-paste commands to run DeepSeek R1 Distill Llama 8B on your machine.
Run
lms load hf-unsloth--deepseek-r1-distill-llama-8b-gguf && lms server startYes, RTX 4070 Super 12GB can run DeepSeek R1 Distill Llama 8B with a B grade (Runs well). Expected decode speed: 79.5 tok/s.
DeepSeek R1 Distill Llama 8B (8B parameters) requires approximately 8.2 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 Distill Llama 8B is Q4_K_M, which balances quality and memory efficiency.
On RTX 4070 Super 12GB, DeepSeek R1 Distill Llama 8B achieves approximately 79.5 tokens per second decode speed with a time-to-first-token of 2434ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill Llama 8B on RTX 4070 Super 12GB receives a B grade with 79.5 tok/s and 81K context.
On RTX 4070 Super 12GB, DeepSeek R1 Distill Llama 8B can safely use up to 81K 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-unsloth--deepseek-r1-distill-llama-8b-gguf-on-rtx-4070-super-12gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: