Can it run?
Runs well
Using Q5_K_M in Ollama
Fit status
Runs well
Decode
79.3 tok/s
TTFT
2441 ms
Safe context
26K
Memory
15.0 GB / 24.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 79.3 tok/s | 3551 ms | 45K |
| Chat | C | Runs well | 79.3 tok/s | 1332 ms | 14K |
| Coding | C | Runs well | 79.3 tok/s | 2441 ms | 26K |
| RAG | B | Runs well | 79.3 tok/s | 4439 ms | 45K |
| Reasoning | C | Runs well | 79.3 tok/s | 2885 ms | 26K |
How Cerebras-GPT 13B (13B params) fits at each quantization level on NVIDIA A30 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | D33 |
Q3_K_S | 3 | 6.4 GB | Low | D34 |
NVFP4 | 4 | 7.3 GB | Medium | D35 |
Q4_K_M | 4 | 7.9 GB | Medium | D36 |
Q5_K_M | 5 | 9.4 GB | High | D37 |
Q6_K | 6 | 10.7 GB | High | D38 |
Q8_0Best for your GPU | 8 | 13.9 GB | Very High | C41 |
F16 | 16 | 26.7 GB | Maximum | F0 |
huggingface-cli download cerebras-gpt-13b