1. Using LM Studio
Steps:
• Download LM Studio from its website lmstudio.ai.
• Install it according to the provided system requirements.
• LM Studio features a built-in chat interface, enhancing user interaction
Steps:
• Download LM Studio from its website lmstudio.ai.
• Install it according to the provided system requirements.
• LM Studio features a built-in chat interface, enhancing user interaction
2. Using Ollama
Steps:
• Download Ollama from the official site ollama.com.
• Run Llama 3 with `ollama run llama3`. It downloads a basic version by default.
To choose a different version, add a tag after the model name, like `ollama run llama3:70b-instruct`.
Steps:
• Download Ollama from the official site ollama.com.
• Run Llama 3 with `ollama run llama3`. It downloads a basic version by default.
To choose a different version, add a tag after the model name, like `ollama run llama3:70b-instruct`.
3. Using GPT4All
Steps: Go to GPT4All gpt4all.io
This method typically involves more DIY setups and might require familiarity with programming environments and software dependencies.
Steps: Go to GPT4All gpt4all.io
This method typically involves more DIY setups and might require familiarity with programming environments and software dependencies.
🚨 Conclusion
Each method provides a unique approach to running Llama 3 on your PC or Mac, catering to different levels of technical expertise and user needs. By following the outlined steps and using the provided tools, you can effectively harness Llama 3 capabilities locally.
Each method provides a unique approach to running Llama 3 on your PC or Mac, catering to different levels of technical expertise and user needs. By following the outlined steps and using the provided tools, you can effectively harness Llama 3 capabilities locally.
I hope you've found this thread helpful.
Follow me @iam_chonchol for more.
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