README.md

metadata

language: en
license: apache-2.0
tags:
  - home-assistant
  - voice-assistant
  - automation
  - assistant
  - home
pipeline_tag: text-generation
datasets:
  - acon96/Home-Assistant-Requests
base_model:
  - TinyLlama/TinyLlama-1.1B-Chat-v1.0
base_model_relation: finetune

🏠 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.

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✨ 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.

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🔧 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))