Zephyr 7B Alpha

Released
2023-10-26
Last refreshed
2026-10-07
Status
Researched 18d ago
Open sourceCommercial use: permitted
Specifications
Family
Zephyr
Released
2023-10-26
Parameters
7B
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
MITOSI-approvedPermitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Community-driven open-source AI model hub

New York City, New York, United States
Founded 2016
Website
Pricing
Output / 1M
$0.250
Input / 1M
$0.050

Cheapest of 2 routes · Replicate API

About

The Zephyr 7B Alpha is a 7-billion parameter language model fine-tuned from the Mistral-7B-v0.1 framework. It serves as an AI assistant, primarily optimizing its performance using Direct Preference Optimization. Although it excels in English text generation and conversational tasks, its training with a mix of public and synthetic datasets—like UltraChat and UltraFeedback—brings a higher risk of generating problematic content due to lesser alignment with human safety standards compared to models like ChatGPT. The model's architecture is GPT-like, offering several quantized versions such as GPTQ and GGUF, which trade-off model size for performance, but may affect accuracy.

Providers(2)

Compare all 2

Compare API pricing across 2 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Replicate API$0.050$0.250
Serverless
Baseten API--
ServerlessPartial

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.