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Zephyr Orpo 141b A35b V0.1 GGUF

Developed by MaziyarPanahi
A 141-billion parameter Mixture of Experts (MoE) model fine-tuned from Mixtral-8x22B-v0.1, with 35 billion active parameters, primarily designed for English text generation tasks
Downloads 10.04k
Release Time : 4/11/2024

Model Overview

This is an ORPO-optimized Zephyr series large language model featuring a mixture of experts architecture, suitable for efficient text generation tasks

Model Features

Efficient Mixture of Experts Architecture
Utilizes an 8-expert mixture design with 141 billion total parameters but only 35 billion active parameters, enabling efficient inference
Multi-level Quantization Support
Offers quantization levels from 2-bit to 16-bit to accommodate different hardware requirements
Optimized Dialogue Capability
Fine-tuned on high-quality synthetic datasets, demonstrating excellent conversational interaction capabilities

Model Capabilities

Text Generation
Dialogue Systems
Instruction Following
Content Creation

Use Cases

Intelligent Assistant
Online Customer Service Bot
Deployed as a website customer service assistant to handle common inquiries
Sample conversations demonstrate smooth handling of multi-turn interactions
Content Generation
Step-by-Step Guide Generation
Generates operational guides based on user requests
Successfully generated a 10-step website building guide in the example
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