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Model: premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF
Source: Original Platform

README.md

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+---
+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](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0), trained with [acon96/Home-Assistant-Requests](https://huggingface.co/datasets/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)
+
+```python
+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))