Hy-Memory 30B A3B
Active Parameters
30B
Context Length
262K
Modality
Text
Architecture
Mixture of Experts
KV Cache Rate
96 KB/tok
License
Apache 2.0
Release Date
15 Oct 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Self-hosted only
Hardware Sizing
Precision
Context
Workload Memory: 18.62 GB
INT4 · 8K context
Base Weights: 15.37 GB
KV Cache: 0.75 GB
Runtime & Graphs: 2.50 GB
Minimum Required Hardware
1x NVIDIA L4 24GB
18.6 / 21.6 GB usable
2x RTX 4090 24GB
18.6 / 43.2 GB usable · TP 2
Apple M3 Pro 36GB
18.6 / 27.0 GB usable
Determine requirements for your specific workload:
Open in VRAM Calculator
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.