
Llama 3

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About
Meta Llama 3, the next generation of state-of-the-art open source large language model. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use cases. Llama 3 uses a tokenizer with a vocabulary of 128K tokens that encodes language much more efficiently, which leads to substantially improved model performance. Llama 2 is an enhanced language model that boasts notable advancements compared to its predecessor launched in February 2023. Llama 2 is open-source and available for both research and commercial uses. LLaMa 2 isn’t primarily designed as a chatbot. Instead, LLaMa 2 is a versatile LLM that developers can access and tailor to their needs. Llama 2 produces more secure outputs compared to ChatGPT with GPT-3.5. It provides fresher data than OpenAI’s GPT-3.5.
Platform
Task
Features
FAQs
What can LLaMA 2 do?
Llama 2 is essentially a pre-trained dataset crafted to respond in a human-like manner. It can be employed to develop chatbots akin to ChatGPT or Google Bard. While such chatbots are typically safe, the entities developing them might utilize the data you offer for further training.
Is LLaMA 2 free to use?
Llama 2 is open-source and available for both research and commercial uses.
Is LLaMA a chatbot?
LLaMa 2 isn’t primarily designed as a chatbot. Instead, LLaMa 2 is a versatile LLM that developers can access and tailor to their needs, aligning with Meta CEO Mark Zuckerberg’s vision to refine and progress the model.
Is LLaMA better than ChatGPT?
Llama 2 produces more secure outputs compared to ChatGPT with GPT-3.5. It provides fresher data than OpenAI’s GPT-3.5. While GPT-3.5 is easier to access than Llama 2, Llama 2 outperforms ChatGPT in terms of performance.
How big is LLaMA 2 in GB?
The Llama2 7B model hosted on HuggingFace under the identifier “meta-llama/Llama-2-7b” includes a PyTorch file named “consolidated.00.pth”, and it is approximately 13.5GB in size.
What is the difference between LLaMA 1 and LLaMA 2?
The Llama 1 models come solely as base models, relying on self-supervised learning and lacking any fine-tuning. Llama 2-Chat models stem from the foundational Llama 2 models. Both Llama 2 and Llama 2-Chat maintain a consistent context length of 4K tokens.
Pricing Plans
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