RX 7900 XT 20GBBudget pick
C226.7 tok/s decode
~$899 MSRP
Can it run?
Runs well
Using Q5_K_M in Ollama
Fit status
Runs well
Decode
30.7 tok/s
TTFT
6307 ms
Safe context
41K
Memory
6.8 GB / 17.3 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 30.7 tok/s | 9174 ms | 80K |
| Chat | C | Runs well | 30.7 tok/s | 3440 ms | 20K |
| Coding | C | Runs well | 30.7 tok/s | 6307 ms | 41K |
| RAG | C | Runs well | 30.7 tok/s | 11468 ms | 80K |
| Reasoning | C | Runs well | 30.7 tok/s | 7454 ms | 41K |
How Llama 3.2 3B Instruct (3B params) fits at each quantization level on Mac mini M2 24GB (17.3 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.2 GB | Low | D31 |
Q3_K_S | 3 | 1.5 GB | Low | D31 |
NVFP4 | 4 | 1.7 GB | Medium | D32 |
Q4_K_M | 4 | 1.8 GB | Medium | D32 |
Q5_K_M | 5 | 2.2 GB | High | D32 |
Q6_K | 6 | 2.5 GB | High | D33 |
Q8_0 | 8 | 3.2 GB | Very High | D33 |
F16Best for your GPU | 16 | 6.1 GB | Maximum | D37 |
huggingface-cli download hf-bartowski--llama-3-2-3b-instruct-ggufUpgrade options
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