【 以下文字转载自 NewExpress 讨论区 】
发信人: anylinkin (ALK), 信区: NewExpress
标  题: Re: 关于“AI模型开源”社区论坛说不是代码开源而是权重参数开
发信站: 水木社区 (Sat Feb  1 09:37:00 2025), 站内

DeepSeek自己的回答："DeepSeek is open-weight with inference code, but not fu
lly open-source."

并且，它还告诉我，AI model的Open-Source也是分等级的，并且直接否认仅仅开放权重
参数不等于开源，因此它认为LLaMA自称是开源的，实际不是开源。


Fully Open-Source: Requires releasing code + weights + training details/data
. Examples include Pythia (code, weights, and dataset links) and BLOOM.

Partially Open: Many models are "open" only in the sense that weights and in
ference code are public, but training code/data are withheld (e.g., Stabilit
y AI's Stable Diffusion shares weights but not full training data).

Open Weights ≠ Open Source: Projects like LLaMA (weights-only) are sometime
s mislabeled as "open-source" but lack critical components for full openness
.


不过社区的讨论都认为，DeepSeek是目前　AI领域“开源”程度最好的模型。


【 在 Jessler 的大作中提到: 】
: 你自己看看有没有code不就可以了，github code source里都有license的
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