Can you run Tencent Hy4 (preview) locally?
Hunyuan family · Aug 2026 · 780B parameters · Hugging Face model card
Tencent Hy4 (preview) is an open-weight mixture-of-experts model (activating 8 of 256 experts per token, 779.96B total parameters, 1,048,576-token context, apache-2.0 license). Running it locally needs roughly 512 GB of memory at Q4-class quantization (calculated) - multi-GPU server or large-unified-memory territory. Measured local speeds: not yet published here; we list unknowns as unknowns.
Minimum: 512 GB+ memory (Q4-class, calculated) · Recommended: 768 GB+ for comfortable context headroom (Q4-class, calculated)
How much VRAM does Tencent Hy4 (preview) need at each quantization?
Tencent Hy4 (preview) needs 514.8 GB of VRAM at Q4_K_M. The table below lists weights-only size and total VRAM including overhead for each common quantization level with 4k and 32k token contexts.
| Quantization | Bits / weight | Weights only | Total + KV @4k ctx | Total + KV @32k ctx |
|---|---|---|---|---|
| Q4_K_M | 4.8 | 468.0 GB | 514.8 GB | 514.8 GB |
| Q5_K_M | 5.7 | 555.7 GB | 611.3 GB | 611.3 GB |
| Q6_K | 6.6 | 643.5 GB | 707.8 GB | 707.8 GB |
| Q8_0 | 8.5 | 828.7 GB | 911.6 GB | 911.6 GB |
| FP16 | 16 | 1,559.9 GB | 1,715.9 GB | 1,715.9 GB |
Method: weights = parameters × bits-per-weight (Q4_K_M ≈ 4.8, Q5_K_M ≈ 5.7, Q6_K ≈ 6.6, Q8_0 ≈ 8.5, FP16 = 16), plus 10% loading overhead, plus KV cache from the verified architecture config (not applicable to this architecture). Source: HF-verified 2026-09-12 run2 via api (safetensors + config.json: MoE 256 experts, ctx 1M); VRAM figures are documented calculations, not measurements
Which GPUs can run Tencent Hy4 (preview) locally?
At Q4_K_M with a 4k context, Tencent Hy4 (preview) needs 514.8 GB of VRAM. The lists below are computed live from our GPU database and grouped by how much headroom the card has. Disclosure: CompareAIHardware.com participates in the Amazon Associates program and earns from qualifying purchases through links on this page. Affiliate relationships do not influence our recommendations.
Needs 2+ GPUs to run Tencent Hy4 (preview)
One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 514.8 GB requirement. See our multi-GPU guide for setup.
| GPU | VRAM | Bandwidth | Type | |
|---|---|---|---|---|
| AMD Instinct MI355X | 288 GB ×2 | 8000 GB/s | Data Center GPU | |
| NVIDIA B300 (Blackwell Ultra) | 288 GB ×2 | 8000 GB/s | Data Center GPU |