Update README.md

README.md

@@ -1,15 +1,58 @@
----
-base_model: unsloth/llama-3.2-1b-bnb-4bit
-language:
-- en
-license: apache-2.0
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- llama
-- gguf
----
+# Taylor Swift Lyrics Llama Model (3.2, GGUF Format)
+
+- **Base Model**: unsloth/llama-3.2-1b-bnb-4bit  
+- **Fine-tuned on**: Taylor Swift lyrics using QLoRA
+- **Format**: GGUF (Not compatible with the `transformers` library; requires `llama-cpp-python`)
+- **License**: Apache-2.0
+- **Developed by**: Covvenheimer and Team
+
+This model, fine-tuned on Taylor Swift lyrics, is tailored for generating text in the style of her songs, with themes of love, heartbreak, and romance. It was trained with a 2x speed improvement using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face’s TRL library, specifically optimized for GGUF format.
+
+> **Important:** This model requires `llama-cpp-python` to run. It is incompatible with the `transformers` library due to its GGUF format.
+
+## Installation and Setup
+
+To load and run this model, install the `llama-cpp-python` library and download the model file from the Hugging Face Hub.
+
+### Step-by-Step Code Example
+
+1. **Install llama-cpp-python**
+
+   ```python
+   !pip install llama-cpp-python
+   ```
+
+2. **Load the Model with llama-cpp**
+
+   ```python
+   from huggingface_hub import hf_hub_download
+   from llama_cpp import Llama
+
+   # Define your model repository and file name
+   repo_id = "Covvenheimer/taylor_swift_model"
+   filename = "unsloth.Q4_K_M.gguf"
+
+   # Download the GGUF model file from Hugging Face
+   model_path = hf_hub_download(repo_id=repo_id, filename=filename)
+
+   # Load the model using llama-cpp-python
+   llm = Llama(model_path=model_path)
+   ```
+
+3. **Generate Text Using a Prompt**
+
+   ```python
+   # Define a prompt for generating lyrics
+   prompt = """You are a songwriter composing a song in the style of Taylor Swift.
+   Write lyrics that reflect her themes and musical style, focusing on Love, Heartbreak, Romance."""
+
+   # Generate lyrics
+   output = llm(prompt, max_tokens=512, temperature=0.8)
+   print(output["choices"][0]["text"])
+   ```
+
+This setup will allow you to use the model efficiently and generate lyrics in the style of Taylor Swift. 
+
 
 # Uploaded  model