B86.8 tok/s decode
~$549 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
58.5 tok/s
TTFT
3308 ms
Safe context
21K
Memory
8.4 GB / 11.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 58.5 tok/s | 4812 ms | 36K |
| Chat | B | Runs well | 58.5 tok/s | 1805 ms | 11K |
| Coding | B | Runs well | 58.5 tok/s | 3308 ms | 21K |
| RAG | C | Tight fit | 58.5 tok/s | 6015 ms | 36K |
| Reasoning | B | Runs well | 58.5 tok/s | 3910 ms | 21K |
How Meta Llama 3.1 8B Instruct (8B params) fits at each quantization level on GTX 1080 Ti 11GB (11.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | D36 |
Q3_K_S | 3 | 3.9 GB | Low | D37 |
NVFP4 | 4 | 4.5 GB | Medium | D38 |
Q4_K_M | 4 | 4.9 GB | Medium | D39 |
Q5_K_M | 5 | 5.8 GB | High | C41 |
Q6_KBest for your GPU | 6 | 6.6 GB | High | C42 |
Q8_0 | 8 | 8.6 GB | Very High | C45 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Upgrade options
~$549 MSRP
~$599 MSRP
~$799 MSRP
~$1,199 MSRP