Written by Jakub Rusinowski · Last updated May 13, 2024
Yes, but it is tight
Yes, but it is tight — Yi 1.5 34B Chat at Q6_K needs about 31 GB of the 32 GB usable on Beelink SER9 (Ryzen AI 9, 32 GB), leaving only ~1 GB before the runtime starts swapping. Expect ~6.5 tok/s (estimated), with room for about 8,192 tokens of context.
Confidence: medium · Recommended quantization: Q6_K · Estimated speed: ~6.5 tok/s
| Usable memory for models | 32 GB |
| Memory bandwidth | 256 GB/s |
| Form factor | Mini PC |
| Operating system | Windows or Linux |
| Memory upgradeable | Yes |
| Price | $859 (lib/data/ai-stations.ts (street price), checked 2026-07-06) |
| Quant | Memory needed | Fits 32 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 71.6 GB | ✗ No | — | — | 68.8 GB |
| Q8_0 | 39.4 GB | ✗ No | — | — | 36.6 GB |
| Q6_K | 31 GB | ✓ Yes | 8K | ~6.5 tok/s | 28.2 GB |
| Q5_K_M | 27.2 GB | ✓ Yes | 16K | ~7.4 tok/s | 24.4 GB |
| Q4_K_M | 23.6 GB | ✓ Yes | 16K | ~8.6 tok/s | 20.8 GB |
| Q3_K_M | 17.5 GB | ✓ Yes | 16K | ~11.9 tok/s | 14.7 GB |
| Q2_K | 14.1 GB | ✓ Yes | 16K | ~15.1 tok/s | 11.3 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Yi 1.5 34B Chat | 23.6 GB | ✓ Fits | ~8.6 tok/s |
| Yi 1.5 9B Chat | 6.9 GB | ✓ Fits | ~31.1 tok/s |
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Yes, but it is tight — Yi 1.5 34B Chat at Q6_K needs about 31 GB of the 32 GB usable on Beelink SER9 (Ryzen AI 9, 32 GB), leaving only ~1 GB before the runtime starts swapping. Expect ~6.5 tok/s (estimated), with room for about 8,192 tokens of context.
Q6_K — it needs about 31 GB of the 32 GB available, downloads as roughly 28.2 GB, and runs at an estimated 6.5 tokens/sec with up to 8K of context.
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
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