Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
93.8 tok/s
TTFT
2065 ms
Safe context
16K
Memory
7.7 GB / 11.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 93.8 tok/s | 3003 ms | 16K |
| Chat | B | Runs well | 93.8 tok/s | 1126 ms | 12K |
| Coding | B | Runs well | 93.8 tok/s | 2065 ms | 16K |
| RAG | B | Runs well | 93.8 tok/s | 3754 ms | 16K |
| Reasoning | B | Runs well | 93.8 tok/s | 2440 ms | 16K |
How CodeLlama 7B Instruct (7B params) fits at each quantization level on RTX 2080 Ti 11GB (11.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | D34 |
Q3_K_S | 3 | 3.4 GB | Low | D35 |
NVFP4 | 4 |
ollama run codellama-7b-instructhuggingface-cli download codellama-7b-instruct3.9 GB |
| Medium |
| D36 |
Q4_K_M | 4 | 4.3 GB | Medium | D37 |
Q5_K_M | 5 | 5.0 GB | High | D38 |
Q6_K | 6 | 5.7 GB | High | D40 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | C43 |
F16 | 16 | 14.3 GB | Maximum | F0 |