作者： Jakub Rusinowski · 最后更新： 2026年8月15日
Yes, but it is tight
Yes, but it is tight — GPT-oss 120B at Q4_K_M needs about 71.9 GB of the 76.8 GB usable on 96 GB system RAM, leaving only ~4.9 GB before the runtime starts swapping. Expect ~19 tok/s (estimated), with room for about 65,536 tokens of context.
Confidence: medium · Recommended quantization: Q4_K_M · Estimated speed: ~19 tok/s
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| Usable memory for models | 76.8 GB |
| Memory bandwidth | 90 GB/s |
| Quant | Memory needed | Fits 76.8 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 235 GB | ✗ No | — | — | 233.6 GB |
| Q8_0 | 125.5 GB | ✗ No | — | — | 124.1 GB |
| Q6_K | 97.2 GB | ✗ No | — | — | 95.8 GB |
| Q5_K_M | 84.2 GB | ✗ No | — | — | 82.8 GB |
| Q4_K_M | 71.9 GB | ✓ Yes | 64K | ~19 tok/s | 70.5 GB |
| Q3_K_M | 51.2 GB | ✓ Yes | 128K | ~25.6 tok/s | 49.8 GB |
| Q2_K | 39.8 GB | ✓ Yes | 128K | ~31.6 tok/s | 38.4 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| GPT-oss 120B | 71.9 GB | ✓ Fits | ~19 tok/s |
| GPT-OSS 20B | 13.8 GB | ✓ Fits | ~26.6 tok/s |
llama.cpp (CPU build) or Ollama — both run without a GPU
Yes, but it is tight — GPT-oss 120B at Q4_K_M needs about 71.9 GB of the 76.8 GB usable on 96 GB system RAM, leaving only ~4.9 GB before the runtime starts swapping. Expect ~19 tok/s (estimated), with room for about 65,536 tokens of context.
Q4_K_M — it needs about 71.9 GB of the 76.8 GB available, downloads as roughly 70.5 GB, and runs at an estimated 19 tokens/sec with up to 64K of context.
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
llama.cpp (CPU build) or Ollama — both run without a GPU