🏠 TinyLLaMA-1.1B Home Assistant Voice Model
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0, trained with acon96/Home-Assistant-Requests.
It is designed to act as a voice-controlled smart home assistant that takes natural language instructions and outputs Home Assistant commands.
✨ Features
- Converts natural language voice commands into Home Assistant automation calls.
- Produces friendly confirmations and structured JSON service commands.
- Lightweight (1.1B parameters) – runs efficiently on CPUs, GPUs, and via Ollama with quantization.
🔧 Example Usage (Transformers)
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("premrajreddy/tinyllama-1.1b-home-llm")
model = AutoModelForCausalLM.from_pretrained("premrajreddy/tinyllama-1.1b-home-llm")
query = "turn on the kitchen lights"
inputs = tokenizer(query, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=80)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))