Can RTX 5080 run Qwen3.6 35B-A3B?
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Probably only partly: the weights are larger than its memory, so part of the model likely ran from system RAM. Measured 102 tok/s generation with part of the model offloaded to system RAM (LM Studio (CUDA), MTP on, 4-bit (LM Studio / MoE); source).
Every measured result for Qwen3.6 35B-A3B on RTX 5080
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| RTX 5080 Laptop 16 GB + 32 GB RAM (LM Studio, MTP): Qwen3.6 35B-A3B at 102 tok/s @17k context after offload retune | 4-bit (LM Studio / MoE) | LM Studio (CUDA), MTP on | 102 CPU offload | source |
Memory: RTX 5080 has 16 GB. Qwen3.6 35B-A3B weights are about 21.7 GB at Q4_K_M (35.51B params × 4.89 bits ÷ 8, before context/KV cache). Arithmetic, not a measurement; long contexts need more. Check other quants in the VRAM calculator.
Speeds are decode (generation) tokens/sec as reported by each source; quant, engine and context differ, so small gaps are noise.
All measured speeds for Qwen3.6 35B-A3B: best home rig for Qwen3.6 35B-A3B.
Qwen3.6 35B-A3B on other hardware: 2x RTX 3090 · Apple M5 Ultra · DGX Spark (GB10) · Intel Arc Pro B70 · RTX 3090 · RTX 4090 · RTX 5090 · RTX Spark N1X · Radeon AI Pro R9700 · Radeon RX 7900 XTX · Strix Halo (Radeon 8060S)
Other models measured on RTX 5080: gpt-oss 20B
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