Can it run?
Runs well
Using Q6_K in Ollama
Fit status
Runs well
Decode
196.2 tok/s
TTFT
987 ms
Safe context
40K
Memory
3.2 GB / 8.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 196.2 tok/s | 1435 ms | 80K |
| Chat | C | Runs well | 196.2 tok/s | 538 ms | 20K |
| Coding | C | Runs well | 196.2 tok/s | 987 ms | 40K |
| RAG | C | Runs well | 196.2 tok/s | 1794 ms | 80K |
| Reasoning | C | Runs well | 196.2 tok/s | 1166 ms | 40K |
How SmolVLM 500M Instruct (0.5B params) fits at each quantization level on RTX 2000 Ada Laptop 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.2 GB | Low | D30 |
Q3_K_S | 3 | 0.2 GB | Low | D30 |
NVFP4 | 4 | 0.3 GB | Medium | D30 |
Q4_K_M | 4 | 0.3 GB | Medium | D30 |
Q5_K_M | 5 | 0.4 GB | High | D31 |
Q6_K | 6 | 0.4 GB | High | D31 |
Q8_0 | 8 | 0.5 GB | Very High | D31 |
F16Best for your GPU | 16 | 1.0 GB | Maximum | D32 |
huggingface-cli download hf-ggml-org--smolvlm-500m-instruct-gguf