Home LLM
Control your Home Assistant smart home with a completely local Large Language Model. No cloud services and no subscriptions needed. Just privacy-focused AI running entirely on your own hardware.
What is Home LLM?
Home LLM is a complete solution for adding AI-powered voice and chat control to Home Assistant. It consists of two parts:
- Local LLM Integration – A Home Assistant custom component that connects local language models to your smart home
- Home Models – Small, efficient AI models fine-tuned specifically for smart home control
Key Features
- 🏠 Fully Local – Everything runs on your hardware. Your data never leaves your control (unless you want to!)
- 🗣️ Voice & Chat Control – Use as a conversation agent with voice assistants or chat interfaces
- 🤖 AI Task Automation – Generate dynamic content and structured data for automations
- 🌍 Multi-Language Support – Built-in support for English, German, French, Spanish, and Polish (better translations are welcome!)
- ⚡ Runs on Low-Power Devices – Models work on Raspberry Pi and other modest hardware -- no GPU required!
- 🔌 Flexible Backends – Run models locally as part of Home Assistant or connect to external model providers
Quick Start
See the Setup Guide for detailed installation instructions.
Requirements: Home Assistant 2026.5.0 or newer
Local LLM Integration
The integration connects language models to Home Assistant, enabling them to understand your requests and control your smart devices.
Supported Backends
Choose how and where you want to run your models:
| Backend | Best For | | --------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | | Llama.cpp (built-in) | Running models directly in Home Assistant | | Ollama | Easy setup on a separate GPU machine | | Generic OpenAI API | LM Studio, LocalAI, vLLM, and other OpenAI-compatible servers | | llama.cpp server | Heterogeneous (non-uniform) GPU compute setups, including CPU + GPU inference | | OpenAI 'Responses' Style API | Cloud services supporting the 'responses' style API | | Anthropic 'Messages' Style API | Cloud services supporting the 'messages' style API | | text-generation-webui | Advanced users with existing setups |
NOTE: When utilizing external APIs or model providers, your data will be transmitted over the internet and shared with the respective service providers. Ensure you understand the privacy implications of using these third-party services, since they will be able to see the status of all exposed entities in your Home Assistant instance, which can potentially include your current location.
Supported Device Types
The integration can control: lights, switches, fans, covers, locks, climate, media players, vacuums, buttons, timers, todo lists, and scripts
Using the Integration
As a Conversation Agent:
- Chat with your assistant through the Home Assistant UI
- Connect to voice pipelines with Speech-to-Text and Text-to-Speech
- Supports voice streaming for faster responses
- Create automations that use AI to process data and generate structured responses
- Perfect for dynamic content generation, data extraction, and intelligent decision making
- See AI Tasks documentation for examples
Home LLM Models
The "Home" models are small language models (under 5B parameters) fine-tuned specifically for smart home control. They understand natural language commands and translate them into Home Assistant service calls.
Latest Models
| Model Family | Size | Link | | ------------- | ---- | --------------------------------------------------------------------------------------- | | Llama 3.2 | 3B | acon96/Home-Llama-3.2-3B | | Gemma | 270M | acon96/Home-FunctionGemma-270m |
Previous Model Versions
Stable Models:
- 3B v3 (StableLM-Zephyr-3B): acon96/Home-3B-v3-GGUF
- 1B v3 (TinyLlama-1.1B): acon96/Home-1B-v3-GGUF
- 3B v2 (Phi-2): acon96/Home-3B-v2-GGUF
- 1B v2 (Phi-1.5): acon96/Home-1B-v2-GGUF
- 1B v1 (Phi-1.5): acon96/Home-1B-v1-GGUF
- German, French, & Spanish (3B): acon96/stablehome-multilingual-experimental
- Polish (1B): acon96/tinyhome-polish-experimental
Note: Models v1 (3B) and earlier are only compatible with integration version 0.2.17 and older.
Using Other Models
Don't have dedicated hardware? You can use any instruction-tuned model with in-context learning (ICL). The integration provides examples that teach general-purpose models (like Qwen3, Llama 3, Mistral) how to control your smart home. See the Setup Guide for configuration details.
Training Your Own
The fine-tuning dataset and training scripts are included in this repository:
- Dataset: Home-Assistant-Requests-V2 on HuggingFace
- Source: data/ directory
- Training: See train/README.md
Documentation
- Setup Guide – Installation and configuration
- Backend Configuration – Detailed backend options
- Model Prompting – Customize system prompts
- AI Tasks – Using AI in automations
Version History
| Version | Highlights | | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | v0.4.12 | More fixes for Home Assistant 2026.9.0 and newer, including a fix for the "Use server sampling defaults" option not being applied properly on the llama.cpp backend | | v0.4.11 | Compatibility fix for Home Assistant 2026.9.0 and newer | | v0.4.10 | Bug fixes and manual parsing improvements for tool calls and thinking blocks | | v0.4.9 | Relax dependency requirements to avoid conflicting with internal HA lib versions | | v0.4.8 | OpenAI backends rewritten using the official openai Python library for better reliability and compatibility. New "Use server sampling defaults" to let your backend set the sampling parameters. More robust tool call parsing with auto-repair for malformed JSON, ability to disable streaming for all backends. | | v0.4.7 | Bug fixes, update default llama_cpp_python version to support new models, and support python 3.14 for new Home Assistant versions | | v0.4.6 | Anthropic API support, on-disk caching for Llama.cpp, new tool calling dataset | | v0.4.5 | AI Task entities, multiple LLM APIs at once, official Ollama package | | v0.4 | Tool calling rewrite, voice streaming, agentic tool use loop, multiple configs per backend | | v0.3 | Home Assistant LLM API support, improved prompting, HuggingFace GGUF auto-detection |
Full Version History
| Version | Description |
| ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| v0.4.12 | More fixes for Home Assistant 2026.9.0 and newer, including a fix for the "Use server sampling defaults" option not being applied properly on the llama.cpp backend |
| v0.4.11 | Compatibility fix for Home Assistant 2026.9.0 and newer |
| v0.4.10 | Bug fixes and manual parsing improvements for tool calls and thinking blocks |
| v0.4.9 | Relax dependency requirements to avoid conflicting with internal HA lib versions |
| v0.4.8 | OpenAI backends rewritten using the official openai Python library for better reliability and compatibility. New "Use server sampling defaults" to let your backend set the sampling parameters. More robust tool call parsing with auto-repair for malformed JSON, ability to disable streaming for all backends. |
| v0.4.7 | Bug fixes, update default llama_cpp_python version to support new models, and support python 3.14 for new Home Assistant versions |
| v0.4.6 | New dataset supporting proper tool calling, Add Anthropic "messages" style API support, Add on-disk caching for Llama.cpp backend |
| v0.4.5 | Add support for AI Task entities, Replace custom Ollama API implementation with the official ollama-python package, Support multiple LLM APIs at once |
| v0.4.4 | Fix issue with OpenAI backends appending /v1 to all URLs |
| v0.4.3 | Fix model config creation during setup |
| v0.4.2 | Fix default model settings, numeric config fields, finish_reason handling |
| v0.4.1 | Fix Llama.cpp models downloaded from HuggingFace |
| v0.4 | Rewrite for tool calling models, agentic tool use loop, voice streaming, multiple config sub-entries |
| v0.3.11 | Bug-fixes and llama.cpp version update |
| v0.3.10 | OpenAI "Responses" API support, HA 2025.7.0 compatibility |
| v0.3.9 | Fix conversation history |
| v0.3.8 | Thinking model support, HA 2025.4 compatibility |
| v0.3.7 | German ICL examples, multi-turn fixes |
| v0.3.6 | Small llama.cpp backend fixes |
| v0.3.5 | Polish ICL examples |
| v0.3.4 | Full Polish translation, improved language support |
| v0.3.3 | Generic OpenAI improvements, area handling |
| v0.3.2 | Script entity fixes |
| v0.3.1 | Basic area support in prompting |
| v0.3 | Home Assistant LLM API support, improved prompting |
| v0.2.x | Ollama support, in-context learning, flash attention, prompt caching |
| v0.1 | Initial Release |