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MiniCPM-V-2

Multimodal model

MiniCPM-V-2

Release date: 2024-04-10Updated: 2024-04-13 19:08:55805
Live demoGitHubHugging FaceCompare
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, under the OpenBMB通用模型许可协议-来源说明-宣传限制-商业授权 license.

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
Apache 2.0
Weights license
OpenBMB通用模型许可协议-来源说明-宣传限制-商业授权- 免费商用授权
GitHub repo
https://github.com/OpenBMB/MiniCPM
Hugging Face
https://huggingface.co/openbmb/MiniCPM-V-2
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, under the OpenBMB通用模型许可协议-来源说明-宣传限制-商业授权 license.

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