RX 7900 XTX 24GBBudget pick
C442.5 tok/s decode
~$999 MSRP
Can it run?
Runs well
Using Q6_K in Ollama
Fit status
Runs well
Decode
55.3 tok/s
TTFT
3500 ms
Safe context
52K
Memory
7.1 GB / 23.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 55.3 tok/s | 5091 ms | 104K |
| Chat | C | Runs well | 55.3 tok/s | 1909 ms | 26K |
| Coding | C | Runs well | 55.3 tok/s | 3500 ms | 52K |
| RAG | C | Runs well | 55.3 tok/s | 6363 ms | 104K |
| Reasoning | C | Runs well | 55.3 tok/s | 4136 ms | 52K |
How gemma 2 2b it (2B params) fits at each quantization level on MacBook Pro M4 32GB (23.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.8 GB | Low | D30 |
Q3_K_S | 3 | 1.0 GB | Low | D30 |
NVFP4 | 4 | 1.1 GB | Medium | D31 |
Q4_K_M | 4 | 1.2 GB | Medium | D31 |
Q5_K_M | 5 | 1.4 GB | High | D31 |
Q6_K | 6 | 1.6 GB | High | D31 |
Q8_0 | 8 | 2.1 GB | Very High | D31 |
F16Best for your GPU | 16 | 4.1 GB | Maximum | D33 |
huggingface-cli download hf-bartowski--gemma-2-2b-it-ggufUpgrade options
~$999 MSRP
RTX 3090 24GBBest value~$1,499 MSRP
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~$2,499 MSRP