Hy-Memory 30B A3B
Active Parameters
30B
Context Length
262K
Modality
Text
Architecture
Mixture of Experts (MoE)
License
Apache 2.0
Release Date
15 Oct 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Self-hosted only
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
3x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
262,144 tokens
Consumer
4x RTX 4090
24GB VRAM
Datacenter
2x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Hy-Memory 30B A3B available.
Rankings
Overall Rank
-
Coding Rank
-
About Hy-Memory 30B A3B
Hy-Memory 30B A3B is an activation-sparse mixture-of-experts model released by Tencent designed for long-term memory retrieval and augmented reasoning. It activates 3B parameters per token to balance efficiency with deep contextual awareness.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
32
Key-Value Heads
4
Attention Head Dimension
128
Position Embedding
ROPE
RoPE Theta
11,158,840
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
2,048
Number of Layers
48
FFN Intermediate Size (Dense)
6,912
Multi-Token Prediction Heads
0
Tokenizer
Vocabulary Size
120,832
Mixture of Experts
Total Expert Parameters
3.0B
Number of Experts
128
Active Experts
8
Shared Experts
1
FFN Intermediate Size (per Expert)
1,536
Dense Layers Before MoE
1
Resources
About Hunyuan
Tencent Hunyuan large language models with various capabilities.