RX 7900 XTX 24GBBudget pick
C56.7 tok/s decode
~$999 MSRP
Can it run?
Tight fit
Using Q4_K_M in Ollama
Fit status
Tight fit
Decode
6.4 tok/s
TTFT
30281 ms
Safe context
18K
Memory
20.0 GB / 23.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs with offload (needs ~0 GB host RAM) | 7.1 tok/s | 39797 ms | 32K |
| Chat | C | Runs well | 7.1 tok/s | 14911 ms | 10K |
| Coding | C | Tight fit | 6.4 tok/s | 30281 ms | 18K |
| RAG | C | Runs with offload (needs ~0 GB host RAM) | 7.1 tok/s | 49746 ms | 32K |
| Reasoning | C | Tight fit | 7.1 tok/s | 32307 ms |
How internlm2 math plus 20b i1 (20B params) fits at each quantization level on MacBook Pro M4 32GB (23.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 7.8 GB | Low | D36 |
Q3_K_S | 3 | 9.8 GB | Low | D38 |
NVFP4 | 4 |
Upgrade options
~$999 MSRP
RTX 3090 24GBBest value~$1,499 MSRP
RTX 4090 24GBBiggest leap~$1,599 MSRP
| 18K |
11.2 GB |
| Medium |
| D39 |
Q4_K_M | 4 | 12.2 GB | Medium | C40 |
Q5_K_M | 5 | 14.4 GB | High | C42 |
Q6_KBest for your GPU | 6 | 16.4 GB | High | C44 |
Q8_0 | 8 | 21.4 GB | Very High | C44 |
F16 | 16 | 41.0 GB | Maximum | F0 |
~$2,499 MSRP