ChatGLM3-6B
6B
Model parameter quantity
Zhipu AI
Affiliated organization
Open Source
License Type
October 27, 2023
Release time
Related figures
Model Introduction
ChatGLM3 is a new generation of pre-trained conversational models jointly released by Zhisp AI and Tsinghua University's KEG Lab. ChatGLM3-6B is the open-source model in the ChatGLM3 series. While retaining the smooth conversation and low deployment threshold of the previous two generations, ChatGLM3-6B boasts a more powerful base model, more complete functional support, and a more comprehensive open-source sequence.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
3.9
Knowledge coverage scope
Has significant knowledge blind spots, often showing factual errors and repeating outdated information.
4.6
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
1.8
Model comparison
ChatGLM3-6B vs Qwen2.5-7B-Instruct
Like Qwen2, the Qwen2.5 language models support up to 128K tokens and can generate up to 8K tokens. They also maintain multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
ChatGLM3-6B vs GPT-4o-mini-20240718
GPT-4o-mini is an API model produced by OpenAI, with the specific version number being gpt-4o-mini-2024-07-18.
ChatGLM3-6B vs GPT-4o-mini-20240718
GPT-4o-mini is an API model produced by OpenAI, with the specific version number being gpt-4o-mini-2024-07-18.
ChatGLM3-6B vs Gemini-2.5-Pro-Preview-05-06
Gemini 2.5 Pro is a model released by Google DeepMind artificial intelligence research team, using version number Gemini-2.5-Pro-Preview-05-06.
ChatGLM3-6B vs DeepSeek-V2-Chat-0628
DeepSeek-V2 is a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. It comprises 236B total parameters, of which 21B are activated for each token. Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger performance, and meanwhile saves 42.5% of training costs, reduces the KV cache by 93.3%, and boosts the maximum generation throughput to 5.76 times.
Related model
GLM-4.5-Air
The new GLM-4.5 reasoning model series released by GLM
GLM-4.5
The new GLM-4.5 reasoning model series released by GLM
GLM-4-9B-Chat
GLM-4-9B is the open-source version of the latest generation pre-trained model in the GLM-4 series launched by ZhiPu AI.
GLM-4-9B-Chat
GLM-4-9B is the open-source version of the latest generation pre-trained model in the GLM-4 series launched by ZhiPu AI.
GLM-4-0520
GLM-4 is an API model from Zhipu AI, with a parameter count exceeding the hundred billion scale. This model undergoes periodic version iterations.
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