Llama LLM
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About
Llama LLM by Meta is a state-of-the-art open-source large language model designed for various use cases. The recent Llama 3 features pretrained and instruction-fine-tuned models with 8 billion and 70 billion parameters, which significantly improves performance through efficient encoding using a vocabulary of 128K tokens. Llama 2, its predecessor, is free to use and ideal for developing chatbots, although not explicitly a chatbot itself. Llama 3.1 presents new workflows for building multi-agent applications, while LlamaCloud enables data access control essential for enterprise-level applications. Llama also provides an extensive FAQ section addressing the capabilities and comparisons with other models like ChatGPT, making it a comprehensive tool in the AI landscape.
Platform
Task
Features
• pretrained language models
• data access control for enterprise applications
• improved performance with new tokenizer
• open-source and customizable
• supports a wide range of applications
FAQs
What can LLaMA 2 do?
LLaMA 2 is a versatile language model designed to respond in a human-like manner and can be used to develop chatbots.
Is LLaMA 2 free to use?
Yes, Llama 2 is open-source and available for both research and commercial uses.
Is LLaMA a chatbot?
LLaMA 2 isn't primarily a chatbot but a flexible LLM that developers can customize.
Is LLaMA better than ChatGPT?
Llama 2 produces more secure outputs and better performance compared to ChatGPT with GPT-3.5.
How to use LLaMA 2 in Python?
Download the model from Hugging Face, set up a Python environment, and install the required packages.
Pricing Plans
Free
Free Plan• Open-source architecture
• Pretrained models
• Available for research and commercial use
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