DeepSeek LLM 67B needs ~54.0 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~27 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
Tight fit
Decode
29.6 tok/s
TTFT
6532 ms
Safe context
4K
Memory
54.0 GB / 64.0 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 | 27.3 tok/s | 3875 ms | 4K |
| Coding | B | Tight fit | 27.3 tok/s | 7104 ms | 4K |
| Agentic Coding | B | Tight fit | 27.3 tok/s | 10333 ms | 4K |
| Reasoning | B | Tight fit | 27.3 tok/s | 8395 ms | 4K |
| RAG | B | Tight fit | 27.3 tok/s | 12916 ms | 4K |
How DeepSeek LLM 67B (67B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 26.1 GB | Low | B55 |
Q3_K_S | 3 | 32.8 GB | Low | B57 |
NVFP4 | 4 | 37.5 GB | Medium | B58 |
Q4_K_M | 4 | 40.9 GB | Medium | B58 |
Q5_K_MBest for your GPU | 5 | 48.2 GB | High | B58 |
Q6_K | 6 | 54.9 GB | High | F0 |
Q8_0 | 8 | 71.7 GB | Very High | F0 |
F16 | 16 | 137.4 GB | Maximum | F0 |
Copy-paste commands to run DeepSeek LLM 67B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "deepseek-ai/deepseek-llm-67b-chat" \
--hf-file "deepseek-llm-67b-chat-Q4_K_M.gguf" \
-c 4096 -ngl 99升级选项
Raises estimated decode speed by about 233%.
Adds memory headroom for longer context windows and future model growth.
~$12,000 MSRP
Raises estimated decode speed by about 124%.
Adds memory headroom for longer context windows and future model growth.
~$15,000 MSRP
Raises estimated decode speed by about 96%.
Adds memory headroom for longer context windows and future model growth.
~$19,000 MSRP
Yes, AMD Instinct MI210 64GB can run DeepSeek LLM 67B with a B grade (Tight fit). Expected decode speed: 27.3 tok/s.
DeepSeek LLM 67B (67B parameters) requires approximately 54.0 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek LLM 67B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI210 64GB, DeepSeek LLM 67B achieves approximately 27.3 tokens per second decode speed with a time-to-first-token of 7104ms using Q4_K_M quantization.
For coding workloads, DeepSeek LLM 67B on AMD Instinct MI210 64GB receives a B grade with 27.3 tok/s and 4K context.
On AMD Instinct MI210 64GB, DeepSeek LLM 67B can safely use up to 4K tokens of context. The model's official context limit is 4K, 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-llm-67b-on-instinct-mi210-64gb" 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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