Zephyr Models by Hugging Face H4
About
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.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
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 |
Frequently Asked Questions
- What is Zephyr used for?
- Zephyr is used for structured outputs, coding, and math-heavy prompts. The family description and listed model capabilities point to those workloads as the best fit.
- How does Zephyr compare to MOSS-Audio?
- Zephyr by Hugging Face H4 is strongest where you need structured outputs, while MOSS-Audio by MOSI Intelligence is the closest related family to check for multimodal. Zephyr has 5 listed variants and reaches up to 8k context, so compare the specs and pricing tables before choosing a production model.
- Which Zephyr model should I use?
- For the lowest listed input price, start with Zephyr 7B Beta through Replicate API at $0.05/1M input tokens. For the most capable/latest local choice, evaluate Zephyr ORPO 141B with structured outputs.
