text model · Hunyuan · Windows
Can I run Hunyuan-A13B-Instruct on Nvidia GeForce RTX 5090 (32GB)?
No. Hunyuan-A13B-Instruct needs ~48.3 GB even at Q4_K_M, but Nvidia GeForce RTX 5090 (32GB) only has ~31 GB usable.
Needs ~48.3 GB even at Q4_K_M, but only ~31 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 17.3 GB: Hunyuan-A13B-Instruct needs roughly 48.3 GB at Q4_K_M and Nvidia GeForce RTX 5090 (32GB) leaves only about 31 GB usable for a model. The lightest tracked hardware that runs Hunyuan-A13B-Instruct is the Apple M4 Max (128GB) at 128 GB. See Hunyuan-A13B-Instruct on Apple M4 Max (128GB).
- Q4_K_M needed
- ~48.3 GB
- Usable on device
- ~31 GB
- Device memory
- 32 GB
Which quant fits
How to run it
On Windows use LM Studio (Best GUI on Windows, auto-detects CUDA/Vulkan backends.).
- Parameters
- 80B (MoE, 13B active)
- Q4_K_M size
- 45.43 GB
- Q8_0 size
- 79.58 GB
- Context
- 256k
- Memory
- 32 GB vram
- Usable for weights
- ~31 GB
- Power draw
- ~575 W
- Best runtime
- vLLM (Linux) / Ollama (CUDA)
What you can run instead
Run Hunyuan-A13B-Instruct on other hardware
FAQ
Can Nvidia GeForce RTX 5090 (32GB) run Hunyuan-A13B-Instruct?
No. Hunyuan-A13B-Instruct needs ~48.3 GB even at Q4_K_M, but Nvidia GeForce RTX 5090 (32GB) only has ~31 GB usable.
How much memory does Hunyuan-A13B-Instruct need?
Nvidia GeForce RTX 5090 (32GB) does not have enough memory. At Q4_K_M the weights are ~45.43 GB; with KV cache and runtime overhead, budget ~48.3 GB at a 4k context. It is a Mixture-of-Experts model (80B total / 13B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Hunyuan-A13B-Instruct on Windows?
LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
Embed this
A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/hunyuan-a13b/nvidia-rtx-5090-32gb) Sources
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.