ChatGLM Introduction
ChatGLM is an open-source bilingual (Chinese-English) large language model series developed by Zhipu AI and Tsinghua KEG, featuring smooth dialogue capabilities and low deployment thresholds.
View MoreWhat is ChatGLM
ChatGLM is a family of open-source large language models designed for dialogue tasks, with versions ranging from 6 billion to 130 billion parameters. Developed jointly by Zhipu AI and Tsinghua University's Knowledge Engineering Group (KEG), ChatGLM models are trained on massive Chinese and English corpora, optimized for question-answering and conversational interactions. The series includes ChatGLM-6B, ChatGLM2-6B, and the latest ChatGLM3-6B, each improving upon its predecessor with enhanced performance, longer context understanding, and more efficient inference capabilities.
How does ChatGLM work?
ChatGLM models are based on the General Language Model (GLM) architecture and utilize advanced training techniques such as supervised fine-tuning, feedback bootstrapping, and reinforcement learning with human feedback. The latest ChatGLM3-6B incorporates a more diverse training dataset, extended training steps, and improved training strategies. It supports multi-turn dialogues and introduces new features like tool invocation (Function Call), code execution (Code Interpreter), and complex Agent tasks. The models can be deployed on consumer-grade hardware thanks to quantization techniques, requiring as little as 6GB of GPU memory for the INT4 quantization level. ChatGLM also offers different versions optimized for specific tasks, such as long-text dialogue (ChatGLM3-6B-32K) and a base model (ChatGLM3-6B-Base) for further fine-tuning.
Benefits of ChatGLM
ChatGLM offers several advantages for users and developers. Its bilingual capability makes it particularly useful for Chinese and English language tasks. The models' efficient design allows for local deployment on consumer-grade hardware, making it accessible for individual researchers and small organizations. Open-sourcing of the models promotes transparency and enables the wider AI community to contribute to its development. ChatGLM's versatility in handling various tasks from content creation to information summarization makes it applicable across multiple domains. Additionally, the continuous improvements in each generation, such as longer context understanding and more efficient inference, ensure that users have access to state-of-the-art language model capabilities.
ChatGLM Monthly Traffic Trends
ChatGLM saw a slight 0.0% decline in traffic, with a reduction of 401 visits. Despite the lack of direct product updates, the model's advanced capabilities and multilingual pre-training on 10 trillion tokens suggest it remains a robust AI product. However, the absence of recent updates or notable market activities might indicate a period of stability rather than active growth.
View history traffic
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