Risks and policy considerations

Given the parameter count (~1.37 billion), the model likely fits a decoder-only transformer similar to GPT-Neo, LLaMA‑small, or Phi‑1.5. Possible architecture choices:

Developing guardrails to prevent AI psychosis, mental health risks, and to make AI tools more secure Other Potential "Mila" Mentions Mila AI (App Store):

| Component | Candidate Setting | |---------------------|---------------------------------------------| | Layers | 24–28 | | Hidden size | 2048–2560 | | Attention heads | 16–20 | | Context length | 2048 or 4096 tokens | | Activation function | SwiGLU / GELU | | Positional encoding | RoPE or ALiBi | | Training tokens | 300B – 1T (if scaled for 1.3B) |