---
title: tencent/Hy-Memory-30B-A3B
url: https://recentmodel.com/models/tencent/Hy-Memory-30B-A3B/
status: main board
published: 2026-10-15T09:52:00Z
updated: 2026-10-15T09:52:00Z
source: https://huggingface.co/tencent/Hy-Memory-30B-A3B
---

# tencent/Hy-Memory-30B-A3B

Hy-Memory-30B-A3B is a compact long-term-memory writer model (~3B active parameters) developed by Tencent Hunyuan to execute the write path inside external memory frameworks. Mixture-of-experts, 30B total, 3B active (128 experts, 8 per token). Context: 256K tokens (config). License: apache-2.0.


- **Org:** tencent
- **Released:** 2026-10-15
- **Status:** main board
- **License:** apache-2.0 (permissive)
- **Parameters:** 30.1B total, 3.0B active
- **Architecture:** MoE · 128 experts, 8/token · HYV3ForCausalLM
- **Context:** 262,144 tokens
- **Task:** text-generation · text
- **Signal:** 313 HF likes · 4208 downloads · 1 X post(s)

## Runs on

real quant files; sizing calculation, not tested.

- Q4 ~20.0 GB: 24GB GPU (3090 / 4090), 32GB GPU (5090), 24GB GPU (7900 XTX), Mac 36GB, CPU only, 32GB RAM (slow)
- Q8 ~33.8 GB: 48GB GPU (RTX 6000 Ada / A6000), Mac 48GB, Mac 64GB (M1 Max), CPU only, 64GB RAM (slow)
- FP16 ~61.9 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)

## Links

- [Hugging Face](https://huggingface.co/tencent/Hy-Memory-30B-A3B)
- [MLX: mlx-community/Hy-Memory-30B-A3B-4bit](https://huggingface.co/mlx-community/Hy-Memory-30B-A3B-4bit)
- [MLX: mlx-community/Hy-Memory-30B-A3B-8bit](https://huggingface.co/mlx-community/Hy-Memory-30B-A3B-8bit)
- [quant: tencent/Hy-Memory-30B-A3B-FP8](https://huggingface.co/tencent/Hy-Memory-30B-A3B-FP8)
- [GGUF: tencent/Hy-Memory-30B-A3B-GGUF](https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF)