Update README.md

README.md

@@ -15,7 +15,9 @@ tags:
 - Extended-Stream
 - text-generation-inference
 ---
-### Llama-Song-Stream-3B-Instruct
+### **Llama-Song-Stream-3B-Instruct Model Card**
+
+The **Llama-Song-Stream-3B-Instruct** is a fine-tuned language model built upon **meta-llama/Llama-3.2-3B-Instruct**. It is specifically trained on song lyrics generation tasks, utilizing chain-of-thought reasoning over lyrical datasets.
 
 | **File Name**                         | **Size**           | **Description**                                  | **Upload Status**  |
 |----------------------------------------|--------------------|--------------------------------------------------|--------------------|
@@ -30,4 +32,60 @@ tags:
 | `tokenizer.json`                       | 17.2 MB           | Tokenizer file (large LFS model tokenizer data). | Uploaded (LFS)     |
 | `tokenizer_config.json`               | 57.4 kB           | Tokenizer configuration settings.               | Uploaded           |
 
+---
+
+## **Model Details**
+
+### **Key Metrics:**
+- **Base Model:** `meta-llama/Llama-3.2-3B-Instruct`
+- **Model Parameters:** 3B (billion parameters).
+- **Fine-tuned dataset focus:** Song generation and lyric-based chain-of-thought reasoning.
+
+---
+
+### **Model Components**
+1. **Model Weights:**
+   - Split into two LFS shards:
+     - `pytorch_model-00001-of-00002.bin` - **4.97 GB**
+     - `pytorch_model-00002-of-00002.bin` - **1.46 GB**
+     
+2. **Tokenizer Data:**
+   - Tokenizer includes LFS model configuration:
+     - `tokenizer.json` - **17.2 MB**
+     - `special_tokens_map.json` - **477 Bytes**
+     - `tokenizer_config.json` - **57.4 KB**
+
+3. **Configuration Files:**
+   - `config.json` - Model settings (**1.03 KB**).
+   - `generation_config.json` - Inference task parameters (**248 Bytes**).
+
+---
+
+### **Training Dataset**
+- **Dataset Name:** [prithivMLmods/Song-Catalogue-Long-Thought](https://huggingface.co/datasets/prithivMLmods/Song-Catalogue-Long-Thought)
+  - **Total Examples:** 57,700+
+  - **Training Focus:** Chain-of-thought reasoning related to lyrical themes and patterns.
+
+---
+
+### **Intended Use Cases**
+1. **Song Lyrics Generation:**  
+   Generate realistic, context-aware song lyrics from user prompts.
+   
+2. **Creative Writing Tools:**  
+   Aiding songwriters and lyricists by generating thematic drafts.
+   
+3. **Text Manipulation via Prompts:**  
+   Experiment with different styles, song structures, and lyrical themes.
+
+---
+
+### **Current Status:**
+- **Inference API Status:**  
+  The model lacks sufficient downloads or visibility for deployment to Hugging Face's Inference API.  
+  - **Action Plan:** Increase visibility through applications and outreach.
+  
+- **Model Deployment Options:**  
+  Use dedicated Inference Endpoints for direct access and deployment.
+
 ---