MI
MiniCPM-V-2
Multimodal modelMiniCPM-V-2
Release date: 2024-04-10Updated: 2024-04-13 19:08:55816
Parameters
2.8B
Context length
2K
Chinese support
Supported
Reasoning ability
MiniCPM-V-2 is an AI model published by OpenBMB, released on 2024-04-10, for Multimodal model, with 2.8B parameters, and 2K context length, requiring about 6.87GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
MiniCPM-V-2
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Multimodal model
Modality (in / out)
No data
Release date
2024-04-10
Model file size
6.87GB
MoE architecture
No
Total params / Active params
2.8B / N/A
Knowledge cutoff
No data
MiniCPM-V-2
Open source & experience
Code license
GitHub repo
Hugging Face
Live demo
No live demo
MiniCPM-V-2
Official resources
Paper
No paper available
DataLearnerAI blog
No blog post yet
MiniCPM-V-2
API details
API speed
No data
No public API pricing yet.
MiniCPM-V-2
Benchmark Results
No benchmark data to show.
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MiniCPM-V-2
Publisher
OpenBMB
View publisher details MiniCPM-V-2
Model Overview
MiniCPM-V-2 is an AI model published by OpenBMB, released on 2024-04-10, for Multimodal model, with 2.8B parameters, and 2K context length, requiring about 6.87GB storage.
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