Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
129.5 tok/s
TTFT
1495 ms
Safe context
43K
Memory
9.0 GB / 24.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 125.9 tok/s | 2237 ms | 76K |
| Chat | C | Runs well | 125.9 tok/s | 839 ms | 22K |
| Coding | C | Runs well | 129.5 tok/s | 1495 ms | 43K |
| RAG | C | Runs well | 125.9 tok/s | 2796 ms | 76K |
| Reasoning | C | Runs well | 125.9 tok/s | 1817 ms | 43K |
How Mistral 7B Instruct v0.2 (7B params) fits at each quantization level on RTX A5000 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | D32 |
Q3_K_S | 3 | 3.4 GB | Low | D32 |
NVFP4 | 4 |
3.9 GB |
| Medium |
| D33 |
Q4_K_M | 4 | 4.3 GB | Medium | D33 |
Q5_K_M | 5 | 5.0 GB | High | D34 |
Q6_K | 6 | 5.7 GB | High | D35 |
Q8_0 | 8 | 7.5 GB | Very High | D36 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | C42 |
