Llama-2-70b-hf
Maintainer: meta-llama - Last updated 4/28/2024
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Model overview
Llama-2-70b-hf
is a 70 billion parameter generative language model developed and released by Meta as part of their Llama 2 family of large language models. This model is a pretrained version converted for the Hugging Face Transformers format. The Llama 2 collection includes models ranging from 7 billion to 70 billion parameters, as well as fine-tuned versions optimized for dialogue use cases. The Llama-2-70b-chat-hf model is the fine-tuned version of this 70B model, optimized for conversational abilities.
Model inputs and outputs
Inputs
Llama-2-70b-hf
takes text input only.
Outputs
- The model generates text output only.
Capabilities
The Llama-2-70b-hf
model is a powerful auto-regressive language model that can be used for a variety of natural language generation tasks. It outperforms many open-source chat models on industry benchmarks and is on par with some popular closed-source models like ChatGPT and PaLM in terms of helpfulness and safety.
What can I use it for?
The Llama-2-70b-hf
model is intended for commercial and research use in English. The pretrained version can be adapted for tasks like text generation, summarization, and translation, while the fine-tuned Llama-2-70b-chat-hf model is optimized for assistant-like chat applications.
Things to try
Developers can fine-tune the Llama-2-70b-hf
model for their specific use cases, leveraging the model's strong performance on a variety of NLP tasks. The Llama-2-7b-hf and Llama-2-13b-hf models provide smaller-scale alternatives that may be more practical for certain applications.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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Llama-2-70b is a 70 billion parameter large language model developed and released by Meta. It is part of the Llama 2 family of models, which also includes smaller 7 billion and 13 billion parameter versions. The Llama 2 models are pretrained on 2 trillion tokens of data and then fine-tuned for dialogue use cases, outperforming open-source chat models on most benchmarks according to the maintainers. The Llama-2-70b-chat-hf and Llama-2-70b-hf versions are also available, with the chat version optimized for dialogue use cases. Model inputs and outputs The Llama-2-70b model takes in text as input and generates text as output. It uses an optimized transformer architecture and was trained using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align it to human preferences for helpfulness and safety. Inputs Text data Outputs Generated text Capabilities The Llama-2-70b model demonstrates strong performance across a range of benchmarks, including commonsense reasoning, world knowledge, reading comprehension, and mathematics. It also shows improved safety metrics compared to earlier Llama models, with higher truthfulness and lower toxicity levels. What can I use it for? Llama-2-70b is intended for commercial and research use in English-language applications. The fine-tuned chat versions like Llama-2-70b-chat-hf are optimized for assistant-like dialogue, while the pretrained models can be adapted for a variety of natural language generation tasks. Things to try Developers should carefully test and tune the Llama-2-70b model before deploying it, as large language models can produce inaccurate, biased or objectionable outputs. The Responsible Use Guide provides important guidance on the ethical considerations and limitations of using this technology.
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Llama-2-70b-chat is a large language model developed by Meta that is part of the Llama 2 family of models. It is a 70 billion parameter model that has been fine-tuned for dialogue use cases, optimizing it for helpfulness and safety. The Llama-2-13b-chat-hf and Llama-2-7b-chat-hf are similar models that are smaller in scale but also optimized for chat. According to the maintainer's profile, the Llama 2 models are intended to outperform open-source chat models and be on par with popular closed-source models like ChatGPT and PaLM in terms of helpfulness and safety. Model inputs and outputs Inputs Text**: The Llama-2-70b-chat model takes text as input. Outputs Text**: The model generates text as output. Capabilities The Llama-2-70b-chat model is capable of engaging in natural language conversations and assisting with a variety of tasks, such as answering questions, providing explanations, and generating text. It has been fine-tuned to optimize for helpfulness and safety, making it suitable for use in assistant-like applications. What can I use it for? The Llama-2-70b-chat model can be used for commercial and research purposes in English. The maintainer suggests it is well-suited for assistant-like chat applications, though the pretrained versions can also be adapted for other natural language generation tasks. Developers should carefully review the Responsible Use Guide available at https://ai.meta.com/llama/responsible-use-guide/ before deploying any applications using this model. Things to try Some ideas for things to try with the Llama-2-70b-chat model include: Engaging it in open-ended conversations to test its dialog capabilities Prompting it with a variety of tasks to assess its versatility Evaluating its performance on specific benchmarks or use cases relevant to your needs Exploring ways to further fine-tune or customize the model for your particular application Remember to always review the model's limitations and ensure responsible use, as with any large language model.
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