MI

MiniCPM-2B-DPO

Chat modelMiniCPM-2B

MiniCPM-2B-DPO

Release date: 2024-01-30Updated: 2024-04-08 20:05:29647
Parameters
2.4B
Context length
2K
Chinese support
Supported
Reasoning ability

MiniCPM-2B-DPO is an AI model published by 面壁智能, released on 2024-01-30, for Chat model, with 2.4B parameters, and 2K context length, requiring about 10.9GB 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-2B-DPO

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Chat model
Modality (in / out)
No data
Release date
2024-01-30
Model file size
10.9GB
MoE architecture
No
Total params / Active params
2.4B / N/A
Knowledge cutoff
No data
MiniCPM-2B-DPO

Open source & experience

MiniCPM-2B-DPO

Official resources

MiniCPM-2B-DPO

API details

API speed
No data
No public API pricing yet.
MiniCPM-2B-DPO

Benchmark Results

No benchmark data to show.

Compare with other models

No curated comparisons for this model yet.

Want a custom combination? Open the compare tool

MiniCPM-2B-DPO

Publisher

MiniCPM-2B-DPO

Model Overview

MiniCPM-2B-DPO is an AI model published by 面壁智能, released on 2024-01-30, for Chat model, with 2.4B parameters, and 2K context length, requiring about 10.9GB 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.

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code