MI
MiniCPM-MoE-8x2B
Release date: 2024-04-10Updated: 2024-04-13Views: 649
Parameters
13.6B
Context length
2K
Multilingual
Supported
Reasoning ability
No data
MiniCPM-MoE-8x2B is an AI model published by OpenBMB, released on 2024-04-10, for Foundation model, with 13.6B parameters, and 2K context length, requiring about 27.7GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
MiniCPM-MoE-8x2B
Model basics
Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2024-04-10
Model file size
27.7GB
MoE architecture
No
Total params / Active params
13.6B / Not applicable
Knowledge cutoff
No data
MiniCPM-MoE-8x2B
Open source & experience
Code license
GitHub repo
Hugging Face
Live demo
N/A
MiniCPM-MoE-8x2B
Official resources
Paper
DataLearnerAI blog
N/A
MiniCPM-MoE-8x2B
API details
API speed
No data
No public API pricing yet.
MiniCPM-MoE-8x2B
Publisher
OpenBMB
View publisher details MiniCPM-MoE-8x2B
Model Overview
MiniCPM-MoE-8x2B is an AI model published by OpenBMB, released on 2024-04-10, for Foundation model, with 13.6B parameters, and 2K context length, requiring about 27.7GB storage.
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