Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
138.2 tok/s
TTFT
1400 ms
Safe context
21K
Memory
3.1 GB / 4.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 149.8 tok/s | 1880 ms | 42K |
| Chat | B | Runs well | 149.8 tok/s | 705 ms | 10K |
| Coding | B | Runs well | 138.2 tok/s | 1400 ms | 21K |
| RAG | B | Runs well | 149.8 tok/s | 2350 ms | 42K |
| Reasoning | B | Runs well | 149.8 tok/s | 1528 ms | 21K |
How TinyLlama 1.1B Chat v0.3 (1.100000023841858B params) fits at each quantization level on RTX 3050 Ti Laptop 4GB (4.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.4 GB | Low | D31 |
Q3_K_S | 3 | 0.5 GB | Low | D32 |
NVFP4 | 4 |
0.6 GB |
| Medium |
| D32 |
Q4_K_M | 4 | 0.7 GB | Medium | D33 |
Q5_K_M | 5 | 0.8 GB | High | D33 |
Q6_K | 6 | 0.9 GB | High | D34 |
Q8_0Best for your GPU | 8 | 1.2 GB | Very High | D36 |
F16 | 16 | 2.3 GB | Maximum | C41 |
