Added model metadata

README.md

@@ -1,40 +1,41 @@
-  ---
-  license: mit
-  tags:
-  - text-generation
-  - pytorch
-  - transformer
-  - custom-model
-  language:
-  - en
-  pipeline_tag: text-generation
-  ---
+---
+license: mit
+tags:
+- text-generation
+- pytorch
+- transformer
+- custom-model
+language:
+- en
+pipeline_tag: text-generation
+---
 
-  # VelocityLM - 2B Parameter Language Model
+# VelocityLM - 2B Parameter Language Model
 
-  A custom transformer model with 2B parameters trained for text generation.
+A custom transformer model with 2B parameters trained for text generation.
 
-  ## Model Details
+## Model Details
 
-  - **Parameters:** ~2 billion
-  - **Architecture:** Custom Transformer with RoPE, RMSNorm, SwiGLU
-  - **Context Length:** 2,048 tokens
-  - **Tokenizer:** GPT-2 compatible
-  - **Training:** Falcon RefinedWeb dataset
+- **Parameters:** ~2 billion
+- **Architecture:** Custom Transformer with RoPE, RMSNorm, SwiGLU
+- **Context Length:** 2,048 tokens
+- **Tokenizer:** GPT-2 compatible
+- **Training:** Falcon RefinedWeb dataset
 
-  ## Usage
+## Usage
 
-  ```python
-  from transformers import AutoTokenizer
-  import torch
+```python
+from transformers import AutoTokenizer
+import torch
 
-  # Load tokenizer
-  tokenizer = AutoTokenizer.from_pretrained("gpt2")
+# Load tokenizer
+tokenizer = AutoTokenizer.from_pretrained("gpt2")
 
-  # Load model (you'll need custom loading code)
-  # See the Space implementation for details
+# Load model (you'll need custom loading code)
+# See the Space implementation for details
+```
 
-  Files
+## Files
 
-  - config.json - Model configuration
-  - pytorch_model.bin - Model weights
+- config.json - Model configuration
+- pytorch_model.bin - Model weights