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Model Library
/Hugging Face/Zephyr 7B Beta
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Zephyr 7B Beta

Ready

Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr-7B-β is the second model in the series, and is a fine-tuned version of mistralai/Mistral-7B-v0.1 that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO).

Zephyr 7B Beta API Features

Fine-tuning

Docs

Zephyr 7B Beta can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model

On-demand Deployment

Docs

On-demand deployments give you dedicated GPUs for Zephyr 7B Beta using Fireworks' reliable, high-performance system with no rate limits.

Metadata

State
Ready
Created on
11/1/2023
Kind
Base model
Provider
Hugging Face

Specification

Calibrated
No
Mixture-of-Experts
No
Parameters
7.24B

Supported Functionality

Fine-tuning
Supported
Serverless
Not supported
Context Length
32.7k tokens
Function Calling
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported