Cerebras-GPT 13B needs ~26.7 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q5_K_M quantization, expect ~121 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
121.4 tok/s
TTFT
1595 ms
Safe context
77K
Memory
26.7 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 | 121.4 tok/s | 870 ms | 77K |
| Coding | B | Runs well | 121.4 tok/s | 1595 ms | 77K |
| Agentic Coding | A | Runs well | 121.4 tok/s | 2320 ms | 77K |
| Reasoning | B | Runs well | 121.4 tok/s | 1885 ms | 77K |
| RAG | A | Runs well | 121.4 tok/s | 2900 ms | 77K |
How Cerebras-GPT 13B (13B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | B57 |
Q3_K_S | 3 | 6.4 GB | Low | B57 |
NVFP4 | 4 | 7.3 GB | Medium | B57 |
Q4_K_M | 4 | 7.9 GB | Medium | B57 |
Q5_K_M | 5 | 9.4 GB | High | B57 |
Q6_K | 6 | 10.7 GB | High | B57 |
Q8_0 | 8 | 13.9 GB | Very High | B58 |
F16Best for your GPU | 16 | 26.7 GB | Maximum | B61 |
Copy-paste commands to run Cerebras-GPT 13B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "cerebras/Cerebras-GPT-13B" \
--hf-file "Cerebras-GPT-13B-Q5_K_M.gguf" \
-c 4096 -ngl 99Yes, AMD Instinct MI210 64GB can run Cerebras-GPT 13B with a B grade (Runs well). Expected decode speed: 121.4 tok/s.
Cerebras-GPT 13B (13B parameters) requires approximately 26.7 GB of memory with Q5_K_M quantization.
The recommended quantization for Cerebras-GPT 13B is Q5_K_M, which balances quality and memory efficiency.
On AMD Instinct MI210 64GB, Cerebras-GPT 13B achieves approximately 121.4 tokens per second decode speed with a time-to-first-token of 1595ms using Q5_K_M quantization.
For coding workloads, Cerebras-GPT 13B on AMD Instinct MI210 64GB receives a B grade with 121.4 tok/s and 77K context.
On AMD Instinct MI210 64GB, Cerebras-GPT 13B can safely use up to 77K tokens of context. The model's official context limit is 131K, 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/cerebras-gpt-13b-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>
Preview: