Zephyr Models by Hugging Face H4
Last refreshed 2026-05-19. Next refresh: weekly.
Details
Capabilities
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WebsiteAbout
The Zephyr family comprises advanced large language models specifically designed to function as highly responsive digital assistants. Notable for their human-like conversational abilities, these models excel in applications involving chatbots and virtual assistant roles. Developed with cutting-edge techniques such as distilled supervised fine-tuning (dSFT), AI feedback (AIF), and distilled direct preference optimization (dDPO), Zephyr models ensure that their output aligns closely with user intent. They often outperform larger models on certain benchmarks, despite being more compact 24. However, in areas requiring complex logic or specialized knowledge, they may face limitations 4. The Zephyr lineup includes iterations like Zephyr-7B-alpha and Zephyr-7B-beta, which is a fine-tuned variant of Mistral-7B 4513. Available through Hugging Face, these models are versatile tools for a range of natural language processing tasks 24.
Decision facts
- Best fit
- structured outputscodingmath-heavy prompts
- Capability starting point
- Zephyr ORPO 141B with structured outputs
- Lowest tracked input
- Zephyr 7B Beta · $0.05/1M · Replicate API
- Closest related family
- MOSS-Audio
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 141B parameters and structured outputs.
Use when the workload needs 8k context and 7B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Zephyr 7B Alpha | Use when the workload needs 7B parameters. | 2023-10 | 7B parameters | Current |
| Zephyr 7B Beta | Use when the workload needs 7B parameters. | 2023-10 | 7B parameters | Current |
| Zephyr 7B Gemma | Use when the workload needs 7B parameters. | 2023-10 | 7B parameters | Current |
| Zephyr ORPO 141B | Use when the workload needs 141B parameters and structured outputs. | 2023-10 | 141B parametersstructured outputs | Current |
| Fireworks Zephyr-7B-beta | Use when the workload needs 8k context and 7B parameters. | 2023-10 | 8k context7B parameters | Current |
Release Timeline
1 release groupSpecifications(5 models)
| Model | Released | Context | Parameters | Structured Outputs |
|---|---|---|---|---|
| Zephyr 7B Alpha | 2023-10 | — | 7B | No |
| Zephyr 7B Beta | 2023-10 | — | 7B | No |
| Zephyr 7B Gemma | 2023-10 | — | 7B | No |
| Zephyr ORPO 141B | 2023-10 | — | 141B | Yes |
| Fireworks Zephyr-7B-beta | 2023-10 | 8k | 7B | No |
Available From(4 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Zephyr 7B Beta | Replicate API | $0.05 | $0.25 | Serverless |
| Zephyr 7B Alpha | Replicate API | $0.05 | $0.25 | Serverless |
| Fireworks Zephyr-7B-beta | Fireworks AI | $0.1 | $0.1 | Serverless |
| Zephyr 7B Beta | Fireworks AI | $0.2 | $0.2 | Provisioned |
| Zephyr ORPO 141B | DeepInfra | $0.65 | $0.65 | Serverless |
