CO

CogVLM

Multimodal modelCogVLMCogVLM

CogVLM

Release date: 2023-10-11Updated: 2023-10-30 23:10:33.803735
Parameters
17B
Context length
2K
Chinese support
Supported
Reasoning ability

CogVLM is an AI model published by 智谱AI, released on 2023-10-11, for Multimodal model, with 17B parameters, and 2K context length, requiring about 28GB storage, under the Apache 2.0 license.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

CogVLM

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
2023-10-11
Model file size
28GB
MoE architecture
No
Total params / Active params
17B / N/A
Knowledge cutoff
No data
CogVLM

Open source & experience

Weights license
Apache 2.0- 免费商用授权
Live demo
No live demo
CogVLM

Official resources

DataLearnerAI blog
No blog post yet
CogVLM

API details

API speed
No data
No public API pricing yet.
CogVLM

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

CogVLM

Publisher

CogVLM

Model Overview

CogVLM is an AI model published by 智谱AI, released on 2023-10-11, for Multimodal model, with 17B parameters, and 2K context length, requiring about 28GB storage, under the Apache 2.0 license.

DataLearner on WeChat

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

DataLearner WeChat QR code