Yi
Qwen
| Yi | Qwen | |
|---|---|---|
| 9 | 5 | |
| 7,141 | 11,064 | |
| 2.8% | 7.0% | |
| 9.4 | 9.4 | |
| 3 days ago | 3 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Yi
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Yi: Open Foundation Models by 01.ai
The model license:
https://github.com/01-ai/Yi/blob/main/MODEL_LICENSE_AGREEMEN...
1) Your use of the Yi Series Models must comply with the Laws and Regulations as
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Chinese Startup Is Winning the Open Source AI Race
01.ai's Yi model has performed well and there are several strong fine-tunes on Huggingface also.
I wonder what definition of "open source" the author is using or if he even read the license Yi is released under.
The Yi model license agreement [1] restricts usage and requires compliance with the "laws and administrative regulations of the mainland of the People's Republic of China" and they have a separate license that you can apply for if you want to use Yi commercially. [2]
Kudos to the 01.ai team on a strong LLM model but I do wonder if Wired and others should be a little more careful with the use of "open source" when describing AI models.
1. https://github.com/01-ai/Yi/blob/main/MODEL_LICENSE_AGREEMEN...
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EU regulation implications ?
I doubt it, training a foundational model (very important to make the difference with language model) make very little economic sense when there's already plenty of open source option. And in fact, almost all AI startup use/fine-tune these models. Only big research center will do foundational research, as it as always been the case. (Mistral and 01.ai are outliers, and I don't see how they're ever gonna recoup their cost)
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What the heck is so great about this model?
Yi-34b: https://github.com/01-ai/Yi
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Yi-34B-Chat
The 6B model is unfortunately still a base text completion model. I've been waiting for the Chat version it to be open-sourced :). The 01-ai team is working on it! https://github.com/01-ai/Yi/issues/173
- 零一万物-AI2.0大模型技术和应用的全球公司（01.AI）- Source of Yi 34B LLM AI
- Kai-Fu Lee's Yi-34B uses Llama's architecture except for two tensors renamed
- 01-AI/Yi: A series of large language models trained from scratch
Qwen
What are some alternatives?
ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
spacy-llm - 🦙 Integrating LLMs into structured NLP pipelines
MOSS - An open-source tool-augmented conversational language model from Fudan University
SqueezeLLM - [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
chatgpt_academic - 为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型 [Moved to: https://github.com/binary-husky/gpt_academic]
gsgen - [CVPR 2024] Text-to-3D using Gaussian Splatting
gpt_academic - 为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
OuterFlightTracker - A flight tracker made in 6 hours on a flight home from OuterNet
Chinese-LLaMA-Alpaca - 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Baichuan-7B - A large-scale 7B pretraining language model developed by BaiChuan-Inc.
wordlist
Baichuan-13B - A 13B large language model developed by Baichuan Intelligent Technology