RX 7600 8GBBudget pick
C68.5 tok/s decode
~$269 MSRP
Can it run?
Tight fit
Using Q4_K_M in Ollama
Fit status
Tight fit
Decode
64.9 tok/s
TTFT
2982 ms
Safe context
19K
Memory
5.0 GB / 6.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 64.9 tok/s | 4338 ms | 35K |
| Chat | C | Tight fit | 64.9 tok/s | 1627 ms | 10K |
| Coding | C | Tight fit | 64.9 tok/s | 2982 ms | 19K |
| RAG | C | Tight fit | 64.9 tok/s | 5422 ms | 35K |
| Reasoning | C | Tight fit | 64.9 tok/s | 3524 ms | 19K |
How Phi 3.5 Mini 4B (4B params) fits at each quantization level on GTX 1660 Ti 6GB (6.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.6 GB | Low | D34 |
Q3_K_S | 3 | 2.0 GB | Low | D36 |
NVFP4 | 4 | 2.2 GB | Medium | D36 |
Q4_K_M | 4 | 2.4 GB | Medium | D37 |
Q5_K_M | 5 | 2.9 GB | High | D39 |
Q6_KBest for your GPU | 6 | 3.3 GB | High | C40 |
Q8_0 | 8 | 4.3 GB | Very High | C43 |
F16 | 16 | 8.2 GB | Maximum | F0 |
ollama run phi-3.5-mini-4bhuggingface-cli download phi-3.5-mini-4bUpgrade options
~$269 MSRP
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