MiniCPM5-2B
Parameters
2B
Context Length
131K
Modality
Text
Architecture
Dense
License
Apache 2.0
Release Date
6 Sept 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
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
131,072 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 MiniCPM5-2B available.
Rankings
Overall Rank
-
Coding Rank
-
About MiniCPM5-2B
MiniCPM5-2B is an edge-focused compact language model developed by OpenBMB and ModelBest. It delivers high-efficiency reasoning, instruction following, and multilingual text generation suitable for on-device deployment.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
16
Key-Value Heads
2
Attention Head Dimension
128
Position Embedding
ROPE
RoPE Theta
5,000,000
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
2,048
Number of Layers
42
FFN Intermediate Size (Dense)
6,144
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
130,560
Resources
About MiniCPM
The MiniCPM model family developed by OpenBMB.
Other MiniCPM Models
- No related models available