Can it run?
Runs well
Using Q5_K_M in Ollama
Fit status
Runs well
Decode
90.4 tok/s
TTFT
2141 ms
Safe context
20K
Memory
4.8 GB / 6.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 90.4 tok/s | 3114 ms | 39K |
| Chat | B | Runs well | 90.4 tok/s | 1168 ms | 10K |
| Coding | B | Runs well | 90.4 tok/s | 2141 ms | 20K |
| RAG | B | Runs well | 90.4 tok/s | 3892 ms | 39K |
| Reasoning | B | Runs well | 90.4 tok/s | 2530 ms | 20K |
How Llama 3.2 3B Instruct (3B params) fits at each quantization level on RTX 2060 6GB (6.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.2 GB | Low | D34 |
Q3_K_S | 3 | 1.5 GB | Low | D35 |
NVFP4 | 4 | 1.7 GB | Medium | D36 |
Q4_K_M | 4 | 1.8 GB | Medium | D36 |
Q5_K_M | 5 | 2.2 GB | High | D37 |
Q6_K | 6 | 2.5 GB | High | D38 |
Q8_0Best for your GPU | 8 | 3.2 GB | Very High | C41 |
F16 | 16 | 6.1 GB | Maximum | F0 |
huggingface-cli download hf-bartowski--llama-3-2-3b-instruct-gguf