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LLama3 is a large NLP model released by Meta AI. It mainly works on natural language processing. Llama3 is an open-source large model. According to the average assessment of many industry insiders, the capability of the Llama3 70B model is on par with GPT-3.5. Because it is free and open source and runs extremely fast locally, it is very suitable for local deployment, fine-tuning models, and project work.
[baike]Configuration Requirements[/baike]Llama3 supports any NVIDIA GPU released after 2018; basically, GPUs with 6 GB or 8 GB of memory can use it. It also supports CPU operation, but after testing, the speed is very slow, so a GPU is still needed. If your computer configuration is not powerful, you can basically only use the basic 8B model, which requires about 30 GB of disk space.
[baike]Installation Methods[/baike]Official installation: manual step-by-step installation, complex, and requires a certain technical foundation.
One-click installation: many one-click installers are available. After downloading and running the framework, you can import the model and run it. It is very convenient, and installation is extremely simple even for beginners.
https://github.com/janhq/jan
https://gpt4all.io/index.html
https://lmstudio.ai/
https://ollama.com/ Requires a Docker environment. Download address: https://www.docker.com/products/docker-desktop/
[baike]Online Experience[/baike]https://huggingface.co/chat/
[baike]Model URLs[/baike]All models: https://huggingface.co/QuantFactory
8B model: https://huggingface.co/QuantFact ... ruct-GGUF/tree/main
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