Can it run?
Runs well
Using F16 in Ollama
Fit status
Runs well
Decode
149.8 tok/s
TTFT
1293 ms
Safe context
8K
Memory
2.5 GB / 4.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 149.8 tok/s | 1880 ms | 8K |
| Chat | B | Runs well | 149.8 tok/s | 705 ms | 8K |
| Coding | B | Runs well | 149.8 tok/s | 1293 ms | 8K |
| RAG | B | Runs well | 149.8 tok/s | 2350 ms | 8K |
| Reasoning | B | Runs well | 149.8 tok/s | 1528 ms | 8K |
How Nomic Embed Text v1.5 (0.13699999451637268B params) fits at each quantization level on RTX 3050 Ti Laptop 4GB (4.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.1 GB | Low | D30 |
Q3_K_S | 3 | 0.1 GB | Low | D30 |
NVFP4 | 4 | 0.1 GB | Medium | D30 |
Q4_K_M | 4 | 0.1 GB | Medium | D30 |
Q5_K_M | 5 | 0.1 GB | High | D30 |
Q6_K | 6 | 0.1 GB | High | D30 |
Q8_0 | 8 | 0.1 GB | Very High | D30 |
F16Best for your GPU | 16 | 0.3 GB | Maximum | D31 |
ollama run nomic-embed-text-v1.5huggingface-cli download nomic-embed-text-v1.5