Calculation methodology
For supported dense transformer models, estimated weight memory is parameter count multiplied by assumed bits per weight, divided by eight and converted to GiB. The Q4, Q5 and Q8 options are approximations; actual GGUF files vary. You can enter a known model-file size instead. The estimated KV cache is 2 × layers × KV heads × head dimension × context length × concurrent sequences × cache bytes per value. A user-adjustable runtime allowance is added. The result is compared against nominal GPU capacity or a user-entered available memory figure. Cache quantization and runtime behavior differ across implementations. File size, reserved memory, supported context, workloads and software can change the actual result. Estimates apply to single-GPU text inference, not training, image or video models, hybrid attention, or partial CPU offload. Sources: NVIDIA inference documentation and official Qwen model configurations. Last reviewed: November 2026.