Zephyr
A series of language models trained to act as helpful assistants.
Overview
Zephyr is a series of language models from Hugging Face that are trained to be helpful assistants. The Zephyr-7B-β model is a fine-tuned version of Mistral-7B-v0.1. It was trained on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO) to better align the model with user intent. Zephyr models are known for their strong performance on conversational and instruction-following benchmarks.
✨ Key Features
- Fine-tuned from Mistral-7B-v0.1
- Trained with Direct Preference Optimization (DPO)
- Optimized to act as a helpful assistant
- Strong performance on chat and instruction-following benchmarks
- Open-source (MIT license)
🎯 Key Differentiators
- Trained with Direct Preference Optimization (DPO)
- Strong performance for its size on conversational benchmarks
Unique Value: Provides a high-performing, open-source conversational AI model that is aligned with user intent.
🎯 Use Cases (4)
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Applications requiring strong safety guardrails without additional fine-tuning
🏆 Alternatives
Offers a strong, DPO-tuned alternative to other instruction-following models, with excellent performance for its size.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Free to use under the MIT license.
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