360gpt2-pro
N/A
Model parameter quantity
360 Zhinao
Affiliated organization
Closed Source
License Type
November 29, 2024
Release time
Model Introduction
360gpt2-pro is a pre-trained language model based on the Transformer architecture, developed by 360 Company. This model has been optimized and improved upon the GPT-2 to offer more efficient and accurate language processing capabilities. The 360gpt2-pro model supports multiple languages and can handle a variety of natural language processing tasks, including text generation, text summarization, translation, and question answering.
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.
5.0
Knowledge coverage scope
Has significant knowledge blind spots, often showing factual errors and repeating outdated information.
6.5
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
5.2
Model comparison
360gpt2-pro 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.
360gpt2-pro 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.
360gpt2-pro 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.
360gpt2-pro 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.
360gpt2-pro 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
360Zhinao2-7B-Chat-4K
The 360Zhinao2-7B-Chat-4K model excels in Chinese language processing and chat tasks, particularly in Chinese benchmark tests and mathematical problem solving, and effectively supports long text through advanced techniques.
360Zhinao2-O1.5
The closed source model of Zhinao2 released by 360. The version name used is 360Zhinao2-O1.5.
360Zhinao2-7B-Chat-4K
The 360Zhinao2-7B-Chat-4K model excels in Chinese language processing and chat tasks, particularly in Chinese benchmark tests and mathematical problem solving, and effectively supports long text through advanced techniques.
360Zhinao3-7B-O1.5
The 360Zhinao3-7B-O1.5 model is not just a mathematical and scientific single point model, but also performs well in general ability and can exert greater value in end side applications.
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.
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