DeepSeek R1 Distill Llama 8B needs ~9.4 GB VRAM. RTX PRO 4000 Blackwell 24GB has 24.0 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
265K
Memory
9.4 GB / 24.0 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 | 112.0 tok/s | 943 ms | 265K |
| Coding | C | Runs well | 112.0 tok/s | 1729 ms | 265K |
| Agentic Coding | C | Runs well | 112.0 tok/s | 2514 ms | 265K |
| Reasoning | C | Runs well | 112.0 tok/s | 2043 ms | 265K |
| RAG | C | Runs well | 112.0 tok/s | 3143 ms | 265K |
How DeepSeek R1 Distill Llama 8B (8B params) fits at each quantization level on RTX PRO 4000 Blackwell 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C45 |
Q3_K_S | 3 | 3.9 GB | Low | C45 |
NVFP4 | 4 | 4.5 GB | Medium | C45 |
Q4_K_M | 4 | 4.9 GB | Medium | C46 |
Q5_K_M | 5 | 5.8 GB | High | C46 |
Q6_K | 6 | 6.6 GB | High | C47 |
Q8_0 | 8 | 8.6 GB | Very High | C48 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | C50 |
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 PRO 4000 Blackwell 24GB can run DeepSeek R1 Distill Llama 8B with a C grade (Runs well). Expected decode speed: 112.0 tok/s.
DeepSeek R1 Distill Llama 8B (8B parameters) requires approximately 9.4 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 PRO 4000 Blackwell 24GB, DeepSeek R1 Distill Llama 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 Llama 8B on RTX PRO 4000 Blackwell 24GB receives a C grade with 112.0 tok/s and 265K context.
On RTX PRO 4000 Blackwell 24GB, DeepSeek R1 Distill Llama 8B can safely use up to 265K 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-pro-4000-blackwell-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: