GLM-4 Series

Open-source multilingual multimodal dialogue model

EditorRecommendationProgrammingMultilingualMultimodal

GLM-4 Series is the next-generation pre-trained model launched by Zhipu AI, including GLM-4-9B, GLM-4-9B-Chat, GLM-4-9B-Chat-1M, and GLM-4V-9B. These models excel in semantic understanding, mathematical reasoning, code execution, and support up to 26 languages. They also possess advanced functionalities like web browsing and code execution. The GLM-4V-9B model boasts high-resolution visual understanding capabilities, making it suitable for multimodal applications.

Multi-turn dialogue capability
supporting long-text reasoning
with a maximum context length of 128K.
Web browsing functionality
capable of parsing and understanding webpage content.
Code execution functionality
able to run and understand code.
Custom tool invocation
allowing integration of external tools and APIs.
Multi-language support

Target audience includes developers
data scientists
and AI researchers who can utilize the GLM-4 series models for natural language processing
machine learning
and other AI-related research and development. The multilingual and multimodal capabilities of these models are particularly suited for international projects requiring handling of multiple languages and visual data.

Develop a cross-language chatbot using GLM-4-9B-Chat.
Perform multimodal data analysis combining images and text using GLM-4V-9B.
Conduct semantic analysis and knowledge discovery of large-scale text corpora using the GLM-4 series models.

Step 1: Visit the GLM-4 series model's GitHub page to understand the model's basic information and features.
Step 2: Select a suitable model version based on your needs
such as GLM-4-9B or GLM-4V-9B.
Step 3: Read the documentation to learn how to download and deploy the model.
Step 4: Start building your application using the provided example code or API.

Visit

GLM-4 Series Visit Over Time

Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

GLM-4 Series Visit Trend

GLM-4 Series Visit Geography

GLM-4 Series Traffic Sources

GLM-4 Series Alternatives

Meta Llama 3.3 — A multilingual large pre-trained language model with 70 billion parameters.

Programming•Multilingual•Pre-trained Model

Meta Llama 3.1-405B — Large multilingual pre-trained language model

Productivity•Language Model•Multilingual

1110

Meta Llama 3 — Meta's new generation of open-source large language model with excellent performance

GlobalTrending•Large Model•Open Source

4632

Llama 3 — A new generation of open-source large language model with excellent performance.

Productivity•Large Model•Open-Source

4728

InternVL2_5-4B — A multimodal large language model that integrates visual and language understanding.

Image•Multimodal•Large Language Model

InternVL2_5-8B — A multimodal large language model supporting interaction understanding between images and text.

Image•Multimodal•Large Language Model

InternVL2_5-26B — A large multimodal language model that integrates visual and linguistic understanding.

Image•Multimodal•Large Language Model

InternVL2_5-38B — Advanced Multimodal Large Language Model Series

Image•Multimodal•Large Language Models

108

OLMo 2 1124 13B Preference Mixture — Large-scale multilingual preference mixture dataset

Others•Dataset•Multilingual

Aria-Base-64K — Multimodal native Mixture-of-Experts model

Productivity•Multimodal•Long text processing

jina-clip-v2 — A multilingual multimodal embedding model for text and image retrieval.

Productivity•Multimodal•Multilingual

Pixtral-Large-Instruct-2411 — A 124B-parameter multimodal large language model.

Productivity•Multimodal•Large Language Model

102

aya-101 — Multilingual generative language model

Productivity•Multilingual•Text Generation

EMOVA — Emotionally Rich Multimodal Language Model

Others•Multimodal•Speech Recognition

138

Molmo — Advanced Multimodal AI Model Family

InternationalSelection•Multimodal•Image Recognition

312

Llama-3.2-3B — Multilingual Large Language Model

Productivity•Artificial Intelligence•Machine Learning

216

pixtral-12b-240910 — A multimodal large language model that supports understanding of both images and text.

Image•Multimodal•Image Processing

120

West Lake AI Model — A multimodal model with high emotional and intellectual intelligence

ChineseSelection•Artificial Intelligence•Multimodal

282

OLMoE — An open-source expert mixture language model with 130 million active parameters.

Productivity•Natural Language Processing•Expert Mixture Model

MedTrinity-25M — A large-scale multimodal medical dataset

Others•Medical Imaging•Multimodal

552

Index-1.9B-Pure — A lightweight large language model focused on text generation.

Programming•Text Generation•Natural Language Processing

126

YAYI-UIE Information Extraction Large Model — High-quality information extraction model based on massive data

Programming•Information Extraction•Natural Language Processing

522

Qwen2 — A next-generation multilingual pre-trained model with exceptional performance.

Productivity•Multilingual•Pre-trained Model

2310

GLM-4V-9B — Open-source multimodal pre-trained model with English and Chinese dialogue capabilities.

InternationalSelection•Multimodal•Pre-trained Model

672

apna AI — Leading Multi-Lingual Generative AI App in India

chatting•Multilingual•Intelligent Companion

132

Aya-23-8B — A multilingual instruction fine-tuned large language model

Programming•Multilingual•Natural Language Processing

Best AI Websites & Tools

GLM-4 Series

GLM-4 Series Visit Over Time

GLM-4 Series Visit Trend

GLM-4 Series Visit Geography

GLM-4 Series Traffic Sources

GLM-4 Series Alternatives

Meta Llama 3.3 — A multilingual large pre-trained language model with 70 billion parameters.

Meta Llama 3.1-405B — Large multilingual pre-trained language model

Meta Llama 3 — Meta's new generation of open-source large language model with excellent performance

Llama 3 — A new generation of open-source large language model with excellent performance.

Large Concept Models — Language modeling in the sentence representation space

WePOINTS — WePOINTS project offers a unified framework for multimodal models.

tulu-3-sft-olmo-2-mixture — A large-scale multilingual text dataset.

InternVL2_5-4B — A multimodal large language model that integrates visual and language understanding.

InternVL2_5-8B — A multimodal large language model supporting interaction understanding between images and text.

InternVL2_5-26B — A large multimodal language model that integrates visual and linguistic understanding.

InternVL2_5-38B — Advanced Multimodal Large Language Model Series

OLMo 2 1124 13B Preference Mixture — Large-scale multilingual preference mixture dataset

Aria-Base-64K — Multimodal native Mixture-of-Experts model

jina-clip-v2 — A multilingual multimodal embedding model for text and image retrieval.

Pixtral-Large-Instruct-2411 — A 124B-parameter multimodal large language model.

aya-101 — Multilingual generative language model

EMOVA — Emotionally Rich Multimodal Language Model

Molmo — Advanced Multimodal AI Model Family

Llama-3.2-3B — Multilingual Large Language Model

pixtral-12b-240910 — A multimodal large language model that supports understanding of both images and text.

West Lake AI Model — A multimodal model with high emotional and intellectual intelligence

OLMoE — An open-source expert mixture language model with 130 million active parameters.

MedTrinity-25M — A large-scale multimodal medical dataset

Index-1.9B-Pure — A lightweight large language model focused on text generation.

YAYI-UIE Information Extraction Large Model — High-quality information extraction model based on massive data

Qwen2 — A next-generation multilingual pre-trained model with exceptional performance.

GLM-4V-9B — Open-source multimodal pre-trained model with English and Chinese dialogue capabilities.

apna AI — Leading Multi-Lingual Generative AI App in India

Aya-23-8B — A multilingual instruction fine-tuned large language model