MI

MiniCPM-MoE-8x2B

Foundation modelMiniCPM

MiniCPM-MoE-8x2B

Release date: 2024-04-10Updated: 2024-04-13 19:43:11640
Parameters
13.6B
Context length
2K
Chinese support
Supported
Reasoning ability

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, 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-MoE-8x2B

Model basics

Reasoning traces
Not supported
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 / N/A
Knowledge cutoff
No data
MiniCPM-MoE-8x2B

Open source & experience

MiniCPM-MoE-8x2B

Official resources

DataLearnerAI blog
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MiniCPM-MoE-8x2B

API details

API speed
No data
No public API pricing yet.
MiniCPM-MoE-8x2B

Benchmark Results

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MiniCPM-MoE-8x2B

Publisher

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, 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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