DeepSeek R1 671B needs ~482.6 GB but AMD Instinct MI250X 128GB only has 128.0 GB. Try a smaller quantization or lighter model.
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
354.6 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
2.7 tok/s
TTFT
72832 ms
Safe context
4K
Memory
482.6 GB / 128.0 GB
Offload
70%
Usable VRAM is the main blocker for this model.
Not enough usable memory
The model needs 482.6 GB, but this setup only exposes 128.0 GB of usable VRAM.
Add more VRAM headroom
The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | F | Too heavy | 2.7 tok/s | 39727 ms | 4K |
| Coding | F | Too heavy | 2.7 tok/s | 72832 ms | 4K |
| Agentic Coding | F | Too heavy | 2.7 tok/s | 105938 ms | 4K |
| Reasoning | F | Too heavy | 2.7 tok/s | 86074 ms | 4K |
| RAG | F | Too heavy | 2.7 tok/s | 132422 ms | 4K |
How DeepSeek R1 671B (671B params) fits at each quantization level on AMD Instinct MI250X 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 261.7 GB | Low | F0 |
Q3_K_S | 3 | 328.8 GB | Low | F0 |
NVFP4 | 4 | 375.8 GB | Medium | F0 |
Q4_K_M | 4 | 409.3 GB | Medium | F0 |
Q5_K_M | 5 | 483.1 GB | High | F0 |
Q6_K | 6 | 550.2 GB | High | F0 |
Q8_0 | 8 | 718.0 GB | Very High | F0 |
F16 | 16 | 1375.6 GB | Maximum | F0 |
No, DeepSeek R1 671B requires more memory than AMD Instinct MI250X 128GB provides.
DeepSeek R1 671B (671B parameters) requires approximately 482.6 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 671B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI250X 128GB, DeepSeek R1 671B achieves approximately 2.7 tokens per second decode speed with a time-to-first-token of 72832ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 671B on AMD Instinct MI250X 128GB receives a F grade with 2.7 tok/s and 4K context.
On AMD Instinct MI250X 128GB, DeepSeek R1 671B can safely use up to 4K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Add more VRAM headroom. The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/deepseek-r1-671b-on-instinct-mi250x-128gb" 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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