Assistant-100M-Guardian

This is a custom 124M parameter language model built from scratch on the Llama architecture. It is just an expirement model doesnot give answer.

Model Details

• Architecture: Custom Llama-based (12 Layers, 12 Heads, 768 Dim)
• Parameter Count: 124M
• Format: Safetensors

Usage & Formatting

Because this model uses a custom architecture class (LlamaNano), you must initialize your local PyTorch class first, and then load these Safetensor weights into it.

Stop Sequence: It is critical to update your generation script to use <|endoftext|> as the stop sequence. This ensures the model cleanly ends its turn after responding.