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// Tencent Hunyuan / Hy · Text LLM

Hunyuan3D-Part: VRAM & local deployment

Text LLM model published by Tencent.

released 2025-09-23licence: Licence not statedmemory figures are estimates

01Specs

PublisherTencent · tencent
Family / seriesTencent Hunyuan / Hy · Hunyuan3D-Part
TypeText LLM
Parametersnot stated in official metadata
Context length—
Licence · Licence not statedThe model card metadata does not state a licence; check the repository files.
Released2025-09-23 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

No estimate: the official metadata does not give a parameter count. Check the model card for tested hardware.

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

The official card does not name a runtime; see the repository.

Which inference engine to choose →

04Official repositories & quantised builds

1 official repo(s) from tencent.

05Other Tencent Hunyuan / Hy models

All 19 →
ModelParams4-bit totalReleased
Hy-Memory-30B-A3B30.1B / 3B21.4 GB2026-10-15
Hy4-preview770B / 49B515 GB2026-08-27
Hy3295B / 21B200 GB2026-07-02
Hy-MT2-1.8B2.04B2.4 GB2026-05-11
Hy-MT2-7B8.03B6.9 GB2026-05-11
Hy-MT2-30B-A3B30.1B / 3B21.4 GB2026-05-11
Hy3-preview295B / 21B200 GB2026-04-13
HY-MT1.5-1.8B2.04B2.4 GB2025-12-25

06Sources

Data checked 2025-10-17. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)