Context
32K
Input
Free (open)
Key Specifications
🏆
Arena Rank
Not disclosed
📐
Context Window
32K
📥
Input Price
per 1M tokens
Free (open)
📤
Output Price
per 1M tokens
Free (open)
🧠
Parameters
7B
🔓
Open Source
Yes
Best For
Chatinstruction followinglightweight deployment
About Zephyr 7B
Zephyr 7B is Hugging Face's instruction-tuned model built on Mistral 7B, trained using Direct Preference Optimization (DPO) to align with human preferences. Despite its compact 7 billion parameter size, it demonstrates strong chat and instruction-following capabilities that punch above its weight class. Zephyr became an influential model in demonstrating that sophisticated alignment techniques could dramatically improve small model performance.
Built byHugging Face↗
Pricing per 1M tokens
Input Tokens
Free (open)
Output Tokens
Free (open)
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Frequently Asked Questions
What is Zephyr 7B?▾
Zephyr 7B is Hugging Face's instruction-tuned model built on Mistral 7B, trained using Direct Preference Optimization (DPO) to align with human preferences. Despite its compact 7 billion parameter size, it demonstrates strong chat and instruction-following capabilities that punch above its weight class. Zephyr became an influential model in demonstrating that sophisticated alignment techniques could dramatically improve small model performance.
How much does Zephyr 7B cost?▾
Zephyr 7B costs Free (open) per 1 million input tokens and Free (open) per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Zephyr 7B's context window?▾
Zephyr 7B has a context window of 32K tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Zephyr 7B open source?▾
Yes, Zephyr 7B is open source. This means the model weights are publicly available, allowing developers and organizations to download, fine-tune, and self-host the model on their own infrastructure. Open-source models offer greater flexibility and data privacy control.
What is Zephyr 7B best for?▾
Zephyr 7B is best suited for: Chat, instruction following, lightweight deployment. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Hugging Face's model lineup.