Verified90% confidenceFactExact time
Open weights differ from fully open source: the former makes model parameters public but does not necessarily disclose training data and complete training code.
9
Sources
90%
Confidence
Long-term
Relevance
8/28/2026
First Seen
Sources
MiniMax H3深度实测:音频驱动视频生成开源模型全面评测
Related Entities
Related Claims
Unverified多数中国大模型采用开放权重(open-weight)模式,即公开模型参数文件供下载,但不一定公开训练数据集和完整训练代码79% similarUnverifiedShieldstral is released as open-weight, meaning the model parameters can be freely downloaded and used, but the training data, training code, and data processing pipeline may not be publicly available.78% similarUnverifiedAn open-weights strategy means that model parameters can be downloaded and used for free, but training data and the complete training process are generally not made public, and it has become the mainstream choice for companies such as Meta Llama and Mistral.76% similarUnverified开放权重仅公开训练完成后的神经网络参数文件,使用者可加载推理和微调,但无法复现训练过程或审计数据来源,与完全开源不同71% similarUnverifiedOpenAI在InstructGPT论文中证明,少量高质量人类偏好数据对模型对齐的贡献远超大规模无监督训练71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/810551API
curl https://kongchang.com/api/v1/knowledge/claims/810551MCP
get_claim(id=810551)