Tencent Hy — local AI model by Tencent

Written by Jakub Rusinowski · Last updated

Tencent's open-weight flagship language models (the line formerly called Hunyuan): Hy3, a 295B mixture-of-experts with 21B active per token, and the 770B Hy4 preview. Both are Apache-2.0 and carry a built-in multi-token-prediction layer for speculative decoding. For Tencent's translation models, see Hy-MT2.

Variants

The smallest Tencent Hy variant needs about 181 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache.

ModelVRAM
Tencent Hy3 295B-A21B →
295B (21B active)
~181.2 GB
Tencent Hy4 Preview 770B-A49B →
770B (49B active)
~471.7 GB

Memory is quantized weights plus overhead at Q4_K_M, from the same engine as the GPU & VRAM checker.

How to run Tencent Hy locally

Install Ollama, then pull the tag.

ollama run tencent-hy

Pick a size above for its own VRAM figure, speed estimate and install command.

Licence

Apache-2.0Commercial use permitted

Commercial use permitted. No usage restrictions beyond attribution.

Applies to: Tencent Hy3 295B-A21B, Tencent Hy4 Preview 770B-A49B

Recommended GPU

The cheapest catalogued GPU that runs Tencent Hy locally (min 181 GB VRAM) is the Apple M3 Ultra (512 GB).

Affiliate disclosure: Some links on this page are affiliate links — if you buy through them, LLM Configurator may earn a commission at no extra cost to you. As an Amazon Associate, LLM Configurator earns from qualifying purchases.
Apple Mac Studio M3 Ultra
512 GB VRAM · 60 W board power
2026 prices are volatile — check the current listing.

Tencent Hy — frequently asked questions

How much VRAM does Tencent Hy need?

Tencent Hy needs about 181 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Tencent Hy3 295B-A21B (181 GB, Q4_K_M); Tencent Hy4 Preview 770B-A49B (472 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Tencent Hy on an RTX 4090 (24 GB)?

Tencent Hy's smallest variant needs about 181 GB, which exceeds a single RTX 4090 (24 GB). Use multiple GPUs, a higher-VRAM card, or Apple Silicon with large unified memory.

What quantization should I use for Tencent Hy?

Q4_K_M is the best balance of quality and VRAM for Tencent Hy in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Tencent Hy with Ollama?

Tencent Hy has no local Ollama tag — the published tag is cloud-hosted, so running it sends your prompts to a hosted GPU rather than your own machine.