Recently, the Yi-34B big model under Zero-1000W has caused widespread controversy over the use of the LLaMA architecture but modifying the tensor name. This behavior has caused strong doubts in the open source community, and many believe it is a manifestation of false propaganda and license violations. Community members pointed out that while the model claims to be based on the LLaMA architecture, by modifying the tensor name, Zero Ten Thousand seems to be trying to mask its true technological source, which is directly contrary to the spirit of the open source protocol.
Faced with external doubts, Zero-1000 Things Company responded quickly. The company said the Yi-34B model is actually based on the GPT structure, not the LLaMA architecture. They explained that the tensor names in the code were renamed due to training requirements and technical tweaks, but that does not mean that the core architecture of the model has changed. The company stressed that this modification was for technical optimization, not to circumvent the requirements of open source protocols.
The core of the controversy is centered on two aspects: First, does Yi-34B violate the open source protocol? The open source community believes that the behavior of modifying tensor names may violate the open source license of the LLaMA architecture, especially if Zero-100 things do not explicitly inform them of their modification behavior. Secondly, the performance parameters of the model and the transparency of code modifications have also become the focus. The community requires Zero-100 to reveal more technical details to prove the independence and innovation of its model.
This controversy is not only about the Yi-34B model itself, but also touches on the trust issue between the open source community and commercial companies. The core of open source software lies in transparency and collaboration, and when commercial companies use open source technology, they often need to find a balance between innovation and compliance. The Zero One Thousand Case reminds us that any modification to open source code should follow the protocol and be transparent to avoid unnecessary legal and moral controversy.
In addition, this incident has also sparked discussions about the development of large-scale model technology. With the rapid development of AI technology, more and more companies are beginning to develop their own models based on open source architectures. However, how to maintain respect for the open source community in innovation has become an urgent problem to be solved. The controversy over Zero and Ten Thousand things may be just the beginning, and similar cases may appear more frequently in the future.
Overall, the controversy over the Yi-34B model not only exposes the potential contradiction between the open source community and commercial companies, but also provides us with an opportunity to reflect. While technological innovation, how to ensure compliance and transparency will be a challenge that all AI developers need to face together. Whether the response of Zero-10 Things can calm the controversy remains to be further verified by time and the community.