Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
129.8 tok/s
TTFT
1491 ms
Safe context
8K
Memory
3.8 GB / 6.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 129.8 tok/s | 2169 ms | 8K |
| Chat | C | Runs well | 129.8 tok/s | 813 ms | 8K |
| Coding | C | Runs well | 129.8 tok/s | 1491 ms | 8K |
| RAG | C | Runs well | 129.8 tok/s | 2711 ms | 8K |
| Reasoning | C | Runs well | 129.8 tok/s | 1762 ms | 8K |
How Gemma 2 2B (2B params) fits at each quantization level on GTX 1660 Ti 6GB (6.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.8 GB | Low | D31 |
Q3_K_S | 3 | 1.0 GB | Low | D32 |
NVFP4 | 4 | 1.1 GB | Medium | D32 |
Q4_K_M | 4 | 1.2 GB | Medium | D32 |
Q5_K_M | 5 | 1.4 GB | High | D33 |
Q6_K | 6 | 1.6 GB | High | D34 |
Q8_0Best for your GPU | 8 | 2.1 GB | Very High | D36 |
F16 | 16 | 4.1 GB | Maximum | C43 |
ollama run gemma-2-2bhuggingface-cli download gemma-2-2b