language, license, tags, pipeline_tag, datasets, base_model, base_model_relation
| language | license | tags | pipeline_tag | datasets | base_model | base_model_relation | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| en | apache-2.0 |
|
text-generation |
|
|
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.
✨ 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))