Mixtral_AI_CyberCoder_7b Open-Source Code Generation Model - Accelerating Rapid Application Development

Mixtral AI CyberCoder 7b

Developed by LeroyDyer

This is a merged model focused on code generation and application development, created by fusing multiple high-quality models

Large Language Model

Transformers

OtherOpen Source License:Apache-2.0 #Code Generation Optimization #Multi-Model Fusion #Security Vulnerability Detection

Downloads 46

Release Time : 3/29/2024

Model Overview

The model specializes in generating code, functions, and applications, optimized for coding problems and code-related tasks (such as UML diagrams and object-oriented planning)

Model Features

Multi-Model Fusion

Incorporates the advantages of multiple high-quality models using the TIES merging method

Code-Focused

Specifically optimized for code generation and programming tasks

Continuous Updates

The model is continuously being optimized and updated

Model Capabilities

Code generation

Function writing

Application development

UML diagram generation

Object-oriented planning

Technical documentation creation

Use Cases

Software Development

Automated Code Generation

Automatically generates executable code snippets based on requirements

Improves development efficiency and reduces repetitive coding work

Code Review Assistance

Helps identify potential code issues and security vulnerabilities

Enhances code quality and security

Technical Documentation

API Documentation Generation

Automatically generates API documentation from code

Keeps documentation synchronized with code

🚀 Code-Focused Merged Language Model

This is a highly focused model dedicated to producing code, functions, and applications. It's created by merging top models and will be fine-tuned on coding-related datasets.

🚀 Quick Start

This model is currently under development. It is being constantly retuned and updated, though these updates may not be reflected in the current gguf!

✨ Features

Specialized in code generation, including functions and applications.
Merged with top models in the repository.
Will be fine-tuned on datasets related to coding problems, UML diagrams, and object - oriented planning.

📦 Installation

No installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

No code examples are provided in the original document, so this section is skipped.

📚 Documentation

📄 General Information

Property	Details
Base Model	mistralai/Mistral-7B-Instruct-v0.2, LeroyDyer/Mixtral_AI_Cyber_3.0, LeroyDyer/Mixtral_AI_MultiToken, LeroyDyer/Mixtral_AI_Multi_TEST
Library Name	transformers
Tags	mergekit, merge, code, art, Cyber - Series
Datasets	WhiteRabbitNeo/WRN-Chapter-1, WhiteRabbitNeo/WRN-Chapter-2, CyberNative/Code_Vulnerability_Security_DPO
License	apache-2.0

🔍 Merge Details

Merge Method

This model was merged using the TIES merge method using LeroyDyer/Mixtral_AI_Cyber_3.0 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: LeroyDyer/Mixtral_AI_Multi_TEST
    parameters:
      density: [0.87, 0.721, 0.451] # density gradient
      weight: 0.876
  - model: LeroyDyer/Mixtral_AI_MultiToken
    parameters:
      density: 0.232
      weight: [0.36, 0.3, 0.437, 0.76] # weight gradient
  - model: mistralai/Mistral-7B-Instruct-v0.2
    parameters:
      density: 0.475
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: LeroyDyer/Mixtral_AI_Cyber_3.0
parameters:
  normalize: true
  int8_mask: true
dtype: float16

🔧 Technical Details

No specific technical implementation details (more than 50 words) are provided in the original document, so this section is skipped.

📄 License

This model is released under the apache-2.0 license.

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