Local LLM with Function Calling is an open-source GitHub project that provides a lightweight framework to run local large language models (LLMs) with built-in function calling support. This project demonstrates how to integrate custom functions or external tools into an AI agent, enabling dynamic code execution, data retrieval, and automated workflows. Users can customize models, define their own functions, and deploy offline AI agents without relying on cloud services, enhancing privacy and reducing latency.
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Tool Libraries
Coding Assistance
#local AI
#data privacy
#offline learning
#agent development
#function calling
#custom APIs
#machine learning models
#LLaMA integration
#GPT4All usage
#Automation Tools
#Chatbot Development
#lightweight AI
#on-premises solutions
#cost-effective AI
#Prompt Customization
#low latency AI
#data security
#local model deployment
#function response handling
#custom function endpoints
...
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Local LLM with Function Calling
Local LLM with Function Calling is an open-source GitHub project that provides a lightweight framework to run local large language models (LLMs) with built-in function calling support. This project demonstrates how to integrate custom functions or external tools into an AI agent, enabling dynamic code execution, data retrieval, and automated workflows. Users can customize models, define their own functions, and deploy offline AI agents without relying on cloud services, enhancing privacy and reducing latency.
AI Platforms & Frameworks
Tool Libraries
Coding Assistance
#local AI
#data privacy
#offline learning
#agent development
#function calling
#custom APIs
#machine learning models
#LLaMA integration
#GPT4All usage
#Automation Tools
#Chatbot Development
#lightweight AI
#on-premises solutions
#cost-effective AI
#Prompt Customization
#low latency AI
#data security
#local model deployment
#function response handling
#custom function endpoints
...
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What is Local LLM with Function Calling?
Local LLM with Function Calling allows developers to create AI agents that run entirely on local hardware, eliminating data privacy concerns and cloud dependencies. The framework includes sample code for integrating local LLMs such as LLaMA, GPT4All, or other open-weight models, and demonstrates how to configure function schemas that the model can invoke to perform tasks like fetching data, executing shell commands, or interacting with APIs. Users can extend the design by defining custom function endpoints, customizing prompts, and handling function responses. This lightweight solution simplifies the process of building offline AI assistants, chatbots, and automation tools for a wide range of applications.
Who will use Local LLM with Function Calling?
- AI developers
- Machine learning researchers
- Software engineers
- Data scientists
- Automation engineers
How to use the Local LLM with Function Calling?
- Step1: Clone the repository from GitHub.
- Step2: Install dependencies using pip or conda.
- Step3: Download or configure a local LLM (e.g., LLaMA, GPT4All).
- Step4: Define your custom function schemas in the code.
- Step5: Run the example script to launch the agent.
- Step6: Customize prompts and function implementations.
- Step7: Test the agent and deploy for offline use.
Platform
- mac
- windows
- linux
Local LLM with Function Calling's Core Features & Benefits
The Core Features
- Local LLM integration
- Function calling support
- Sample function schemas
- Customizable prompt templates
- Offline AI agent deployment
- Support for multiple local models (LLaMA, GPT4All)
The Benefits
- Enhanced data privacy
- Reduced API costs
- Low-latency inference
- Fully offline operation
- Easy customization and extension
Local LLM with Function Calling's Main Use Cases & Applications
- Offline AI chat assistants
- Automated data retrieval agents
- Local document processing tools
- Custom command execution bots
- Embedded AI in edge devices
FAQs of Local LLM with Function Calling
Local LLM with Function Calling Company Information
Local LLM with Function Calling Reviews
5/5
Local LLM with Function Calling's Main Competitors and alternatives?
- LangChain
- LlamaIndex
- OpenAI Function Calling API
- Microsoft Bot Framework
- ReAct Framework
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