premrajreddy/tinyllama-1.1b-home-llm
TEXT GENERATIONConcurrency Cost:1Model Size:1.1BQuant:BF16Ctx Length:2kPublished:Aug 18, 2025License:apache-2.0Architecture:Transformer Open Weights Warm
premrajreddy/tinyllama-1.1b-home-llm is a 1.1 billion parameter fine-tuned TinyLlama model designed for voice-controlled smart home assistance. It specializes in converting natural language commands into structured Home Assistant service calls. This lightweight model efficiently generates Home Assistant automation commands and friendly confirmations, suitable for deployment on various hardware including CPUs and GPUs.
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TinyLLaMA-1.1B Home Assistant Voice Model
This model, developed by premrajreddy, is a specialized fine-tuned version of the TinyLlama/TinyLlama-1.1B-Chat-v1.0 base model. It has been specifically trained using the acon96/Home-Assistant-Requests dataset to function as an efficient voice-controlled smart home assistant.
Key Capabilities
- Natural Language to Home Assistant Commands: Converts spoken natural language instructions directly into executable Home Assistant service calls.
- Structured Output: Generates structured JSON service commands, ensuring compatibility and ease of integration with Home Assistant automations.
- User-Friendly Confirmations: Provides friendly, conversational confirmations to the user after processing a command.
- Lightweight and Efficient: With only 1.1 billion parameters, this model is designed for efficient operation across various hardware, including CPUs and GPUs, and supports quantization for deployment via tools like Ollama.
Good For
- Developers building local, privacy-focused smart home voice assistants.
- Integrating natural language control into Home Assistant setups.
- Applications requiring a small, fast language model for command interpretation in home automation contexts.