Cerebras-GPT 13B needs ~25.1 GB VRAM. RTX 6000 Ada 48GB has 48.0 GB. With Q5_K_M quantization, expect ~86 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
85.8 tok/s
TTFT
2257 ms
Safe context
53K
Memory
25.1 GB / 48.0 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 | 85.8 tok/s | 1231 ms | 53K |
| Coding | B | Runs well | 85.8 tok/s | 2257 ms | 53K |
| Agentic Coding | A | Runs well | 85.8 tok/s | 3283 ms | 53K |
| Reasoning | B | Runs well | 85.8 tok/s | 2667 ms | 53K |
| RAG | A | Runs well | 85.8 tok/s | 4103 ms | 53K |
How Cerebras-GPT 13B (13B params) fits at each quantization level on RTX 6000 Ada 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | B58 |
Q3_K_S | 3 | 6.4 GB | Low | B58 |
NVFP4 | 4 |
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, RTX 6000 Ada 48GB can run Cerebras-GPT 13B with a B grade (Runs well). Expected decode speed: 85.8 tok/s.
Cerebras-GPT 13B (13B parameters) requires approximately 25.1 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 RTX 6000 Ada 48GB, Cerebras-GPT 13B achieves approximately 85.8 tokens per second decode speed with a time-to-first-token of 2257ms using Q5_K_M quantization.
For coding workloads, Cerebras-GPT 13B on RTX 6000 Ada 48GB receives a B grade with 85.8 tok/s and 53K context.
On RTX 6000 Ada 48GB, Cerebras-GPT 13B can safely use up to 53K 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-rtx-6000-ada-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
7.3 GB |
| Medium |
| B58 |
Q4_K_M | 4 | 7.9 GB | Medium | B58 |
Q5_K_M | 5 | 9.4 GB | High | B59 |
Q6_K | 6 | 10.7 GB | High | B59 |
Q8_0 | 8 | 13.9 GB | Very High | B60 |
F16Best for your GPU | 16 | 26.7 GB | Maximum | B64 |