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Dolphin 2.5 Mixtral 8x7b GPTQ

Developed by TheBloke
Dolphin 2.5 Mixtral 8X7B is a large language model developed by Eric Hartford based on the Mixtral architecture, fine-tuned on multiple high-quality datasets, suitable for various natural language processing tasks.
Downloads 164
Release Time : 12/14/2023

Model Overview

This model is a large language model based on the Mixtral 8X7B architecture, fine-tuned with the Dolphin dataset, supporting various natural language processing tasks including text generation, code generation, and more.

Model Features

Mixture of Experts
Based on the Mixtral 8X7B architecture, it employs a mixture of experts design to efficiently handle complex tasks.
High-quality Fine-tuning
Fine-tuned using multiple high-quality datasets (e.g., Dolphin, Airoboros, Synthia, etc.) to enhance model performance.
Long Context Support
Supports context lengths up to 8192, making it suitable for long-text tasks.
Quantization Support
Offers multiple quantization versions (e.g., 3-bit, 4-bit, 8-bit) to reduce hardware requirements.

Model Capabilities

Text generation
Code generation
Natural language understanding
Instruction following

Use Cases

Code Generation
Code Completion
Generates completion code based on user-provided code snippets.
Produces high-quality code completion suggestions.
Code Explanation
Explains the functionality and logic of complex code.
Provides clear and understandable code explanations.
Text Generation
Creative Writing
Generates creative texts such as stories and poems.
Produces imaginative and creative text content.
Technical Documentation
Generates technical documents or instructions based on user requirements.
Produces well-structured and accurate technical documentation.
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