Can it run?
Runs well
Using Q5_K_M in Ollama
Fit status
Runs well
Decode
52.9 tok/s
TTFT
3662 ms
Safe context
8K
Memory
31.5 GB / 40.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 61.7 tok/s | 4565 ms | 8K |
| Chat | B | Runs well | 61.7 tok/s | 1712 ms | 8K |
| Coding | C | Runs well | 52.9 tok/s | 3662 ms | 8K |
| RAG | C | Tight fit | 61.7 tok/s | 5707 ms | 8K |
| Reasoning | B | Runs well | 61.7 tok/s | 3709 ms | 8K |
How MPT-30B-Instruct (30B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | D35 |
Q3_K_S | 3 | 14.7 GB | Low | D37 |
NVFP4 | 4 |
ollama run mpt-30b-instructhuggingface-cli download mpt-30b-instruct| Medium |
| D38 |
Q4_K_M | 4 | 18.3 GB | Medium | D38 |
Q5_K_M | 5 | 21.6 GB | High | C40 |
Q6_K | 6 | 24.6 GB | High | C42 |
Q8_0Best for your GPU | 8 | 32.1 GB | Very High | C44 |
F16 | 16 | 61.5 GB | Maximum | F0 |