Can I run Hunyuan-A13B-Instruct?

Hunyuan-A13B-Instruct needs about 57.0 GB of memory at Q4_K_M, and the cheapest GPU we track that holds it is the NVIDIA RTX Pro 6000 Blackwell 96GB (96 GB, $8565 list price). 7 of the 82 devices we track run it fully at Q4. These are estimates, not measured benchmarks.

80.4B parameters, by tencent. License: other. Model card (params from HF API, retrieved 2026-10-28) · Q4 vs Q8 vs FP16 · MoE: 13.0B active per token

Q4_K_M needs

57.0 GB 48.7 GB weights

Q8_0 needs

99.2 GB 85.4 GB weights

FP16 needs

185.9 GB 160.8 GB weights

7 of 82 tracked GPUs and Macs run it fully at Q4.

Memory by context length

Longer chats and documents need more memory for the KV cache. All 32 layers keep a full cache. Sizes assume an FP16 KV cache; a Q8 cache roughly halves the cache part.

From the model's config.json (32 full-attention layers × 8 KV heads × 128 head size, retrieved 2026-10-28). Check the model card for its maximum supported context. Try other sizes in the VRAM calculator or compare models in our context length guide.

Which hardware runs it

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