DeepSeek R1 Distill Llama 8B needs ~8.3 GB VRAM. RX 6900 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~60 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
59.8 tok/s
TTFT
3237 ms
Safe context
147K
Memory
8.3 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 | C | Runs well | 59.8 tok/s | 1766 ms | 147K |
| Coding | C | Runs well | 59.8 tok/s | 3237 ms | 147K |
| Agentic Coding | C | Runs well | 59.8 tok/s | 4709 ms | 147K |
| Reasoning | C | Runs well | 59.8 tok/s | 3826 ms | 147K |
| RAG | C | Runs well | 59.8 tok/s | 5886 ms | 147K |
How DeepSeek R1 Distill Llama 8B (8B params) fits at each quantization level on RX 6900 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C47 |
Q3_K_S | 3 | 3.9 GB | Low | C48 |
NVFP4 | 4 | 4.5 GB | Medium | C49 |
Q4_K_M | 4 | 4.9 GB | Medium | C49 |
Q5_K_M | 5 | 5.8 GB | High | C50 |
Q6_K | 6 | 6.6 GB | High | C51 |
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, RX 6900 XT 16GB can run DeepSeek R1 Distill Llama 8B with a C grade (Runs well). Expected decode speed: 59.8 tok/s.
DeepSeek R1 Distill Llama 8B (8B parameters) requires approximately 8.3 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 RX 6900 XT 16GB, DeepSeek R1 Distill Llama 8B achieves approximately 59.8 tokens per second decode speed with a time-to-first-token of 3237ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill Llama 8B on RX 6900 XT 16GB receives a C grade with 59.8 tok/s and 147K context.
On RX 6900 XT 16GB, DeepSeek R1 Distill Llama 8B can safely use up to 147K 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-rx-6900-xt-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: