ChatGLM3-6B
What does it do?
- Dialogue
- Code Execution
- Agent Tasks
- Function Calls
- Task Automation
How is it used?
- API
- Access via web app
- or SDK for dialogue and task automation.
- 1. Access web app
- 2. Integrate w/ APIs & SDKs
Who is it good for?
- AI Researchers
- Educators
- Software Developers
- Customer Service Representatives
- Automation Engineers
What does it cost?
- Pricing model : Open Source
Details & Features
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Made By
Tsinghua -
Released On
ChatGLM3-6B is an open-source language model designed for advanced dialogue capabilities and complex task execution. This AI-powered software offers enhanced performance in semantics, mathematics, reasoning, code, and knowledge domains, making it suitable for a wide range of applications in research, development, and business environments.
Key features:
- Enhanced Base Model: Utilizes a diverse training dataset, extensive training steps, and refined strategies for improved performance.
- Comprehensive Function Support: Adopts a new prompt format supporting multi-turn dialogues and complex scenarios.
- Native Advanced Functions: Includes built-in support for function calls, code execution, and agent tasks.
- Open-Source Availability: Offers multiple model variants, including base and long-text dialogue versions, for academic and commercial use.
How it works:
1. Users interact with the model through web interfaces, APIs, or SDKs.
2. The model processes user inputs using its advanced language understanding capabilities.
3. It generates responses or executes tasks based on the input and selected functions.
4. For code execution, the model can run and provide output for code snippets within the dialogue.
Integrations:
Function calls, Code Interpreter, Agent tasks
Use of AI:
ChatGLM3-6B employs generative AI techniques to provide advanced dialogue capabilities and support complex tasks. The model's architecture and training strategy are optimized for high-performance generative capabilities across various domains.
AI foundation model:
ChatGLM3-6B is built on a foundation model trained on diverse datasets, ensuring robust performance in multiple areas such as semantics, mathematics, reasoning, code, and knowledge.
Target users:
- Researchers in academia
- Software developers
- Businesses seeking to enhance customer service and automation
- Educators and students
How to access:
Users can access ChatGLM3-6B through a web interface at chatglm.cn, or by using APIs and SDKs available on platforms like Hugging Face. The model weights are open-sourced for academic research and available for commercial use after completing a registration process.
Model variants:
- ChatGLM3-6B: Main dialogue model
- ChatGLM-6B-Base: Base model
- ChatGLM3-6B-32K: Long-text dialogue model
Availability:
ChatGLM3-6B is available as a web app, API, and SDK. The code is open-sourced under the Apache-2.0 license, with model weights accessible for both academic and commercial use after registration.
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Supported ecosystemsHugging Face, Hugging Face, GitHub
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What does it do?Dialogue, Code Execution, Agent Tasks, Function Calls, Task Automation
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Who is it good for?AI Researchers, Educators, Software Developers, Customer Service Representatives, Automation Engineers
PRICING
Visit site| Pricing model: Open Source |
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