tulu-2-dpo-70b
Maintainer: allenai
146
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
tulu-2-dpo-70b is a 70-billion parameter language model fine-tuned by allenai using Direct Preference Optimization (DPO) on a mix of publicly available, synthetic, and human-created datasets. It is part of the Tulu V2 series of language models designed to act as helpful AI assistants. The model is a strong alternative to the Llama 2 70b Chat model.
Model inputs and outputs
Inputs
- Text prompts
Outputs
- Generated text responses
Capabilities
tulu-2-dpo-70b is a powerful language model capable of engaging in open-ended dialogue, answering questions, and assisting with a variety of natural language tasks. It has been shown to outperform many open-source chat models on benchmarks measuring helpfulness and safety.
What can I use it for?
The tulu-2-dpo-70b model can be used for a wide range of applications that require natural language processing and generation, such as chatbots, virtual assistants, content generation, and more. The model's strong performance on alignment and safety metrics makes it a suitable choice for use cases where trustworthiness and reliability are important.
Things to try
Experiment with the model by providing a diverse range of prompts and observing the quality and coherence of the responses. You can also try fine-tuning the model on your own data to adapt it for specific domains or use cases.
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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