Hy-MT2 7B
Parameters
7B
Context Length
8K
Modality
Text
Architecture
Dense
License
Apache 2.0
Release Date
11 May 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Input: $0.07 · Output: $0.29
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
8,192 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Hy-MT2 7B available.
Rankings
Overall Rank
-
Coding Rank
-
About Hy-MT2 7B
Hy-MT2 7B is a dense translation model developed by Tencent to support robust machine translation across 33 language pairs and local dialects. It is suited for enterprise document localization, glossary integration, and contextual translation.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
32
Key-Value Heads
8
Attention Head Dimension
128
Position Embedding
ROPE
RoPE Theta
10,000
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
No
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
4,096
Number of Layers
32
FFN Intermediate Size (Dense)
14,336
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
128,167
Resources
About Hunyuan
Tencent Hunyuan large language models with various capabilities.