Tencent Hy4 preview
Tencent Hy4 preview is an open-weights language model from Tencent, released August 28, 2026. Its makers disclosed about 770B parameters.
Hy4 preview is a 770B-parameter Mixture-of-Experts model (49B active) from the Tencent Hy team with a 1M-token context window, released open-weight under Apache 2.0 on 28 August 2026.
Check it against your own PC →
Can you run Tencent Hy4 preview locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Size unknown | – | – | – | – |
| 8 GB VRAM | Size unknown | – | – | – | – |
| 12 GB VRAM | Size unknown | – | – | – | – |
| 16 GB VRAM | Size unknown | – | – | – | – |
| 24 GB VRAM | Size unknown | – | – | – | – |
| 32 GB VRAM | Size unknown | – | – | – | – |
Parameter count unknown. The weights may not be on Hugging Face yet.
Benchmark results
Epoch AI has not published results for Tencent Hy4 preview yet. New models are usually evaluated within days to weeks.
Links
More from Tencent
WeVisOne VL 4B · WeVisOne VL 2B · Hy Memory 30B A3B · Youtu Parsing Omni · Hy4 preview · Tencent Hy3