LoRA微调模型 - 高效参数微调技术
LoRA Fine-Tuning Model - Efficient Parameter Tuning Technique
LoRA微调模型，一种高效的参数微调技术。通过低秩适应方法，在不重新训练整个模型的情况下，实现对特定任务的高效适配，大幅减少计算资源需求。
LoRA fine-tuning model, an efficient parameter tuning technique. Through low-rank adaptation methods, it achieves efficient adaptation to specific tasks without retraining the entire model, significantly reducing computational resource requirements.
文件大小
0.8 GB
Upload Size
0.8 GB
上传日期
2024-12-20
Upload Date
2024-12-20
下载次数
14,500
Downloads
14,500
评分
4.7/5.0
Rating
4.7/5.0
下载资源 Download Resources
下载资源表示您同意我们的使用条款和隐私政策
By downloading this resource, you agree to our Terms of Service and Privacy Policy
相关资源推荐
GPT-4开源替代品，Alpaca 7B高性能版本，基于斯坦福大学的研究成果。拥有70亿参数，经过指令微调，可执行复杂任务，适合研究和小型应用部署。
GPT-4 open-source alternative, Alpaca 7B high-performance version, based on Stanford University research. With 7 billion parameters, instruction fine-tuned, capable of executing complex tasks, suitable for research and small-scale application deployment.
商用可授权的开源AI模型，基于LLaMA架构的衍生版本，采用Apache 2.0许可证。支持商业用途，提供完整的授权文档和技术支持，适用于企业级AI应用开发。
Commercial license-available open source AI model, a derivative version based on LLaMA architecture, licensed under Apache 2.0. Supports commercial use, provides complete authorization documentation and technical support, suitable for enterprise-level AI application development.
开源无广告AI软件套装，完全开源且无任何广告植入。包含多个实用AI工具，界面干净，功能强大，源代码公开，允许用户自由修改和分发。
Open source ad-free AI software suite, completely open source with no advertisements. Contains multiple practical AI tools, clean interface, powerful functionality, open source code, allowing users to freely modify and distribute.