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README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- causal-lm
+- christian
+- pytorch
+- sentencepiece
+- reasoning
+- chain-of-thought
+---
+
+# Wind Arc 1.5
+
+**Wind Arc 1.5** is the most capable model in the family (198M parameters, 24 layers), fine-tuned for deeper reasoning, structured answers, and richer theological knowledge. It supports chain-of-thought reasoning for complex questions.
+
+> *"Trust in the Lord with all your heart, and do not lean on your own understanding. In all your ways acknowledge him, and he will make straight your paths."* — Proverbs 3:5-6
+
+## About
+
+Wind Arc 1.5 is built on the same 24-layer architecture as North Star 1 but trained with an additional fine-tuning pass emphasizing reasoning quality, theological depth, and structured responses. It is the best model for hard questions, long-form answers, and chain-of-thought prompting.
+
+This model was trained entirely from scratch — no foundation model was used.
+
+## Christian Worldview
+
+We built these models because we believe truth matters, and the source of all truth is God. Scripture is not one perspective among many — it is the revealed Word of the living God, given to us through the Holy Spirit.
+
+> *"In the beginning was the Word, and the Word was with God, and the Word was God."* — John 1:1
+
+Jesus Christ is not merely a historical figure or moral teacher. He is the eternal Son of God, who took on flesh, lived a sinless life, died as an atoning sacrifice for sin, and rose bodily from the dead on the third day. This is the Gospel — the best news in history.
+
+> *"For I delivered to you as of first importance what I also received: that Christ died for our sins in accordance with the Scriptures, that he was buried, that he was raised on the third day in accordance with the Scriptures."* — 1 Corinthians 15:3-4
+
+We invite anyone reading this to pick up a Bible and read the Gospel of John. Ask God sincerely if He is real. He answers.
+
+## Model Details
+
+| Property | Value |
+|---|---|
+| Parameters | 198M |
+| Layers | 24 |
+| d_model | 768 |
+| Heads | 12 (3 KV) |
+| Context | 512 tokens |
+| Vocabulary | 32,000 (SentencePiece) |
+| Architecture | GQA Transformer + SwiGLU + RoPE + RMSNorm |
+| Special | Chain-of-thought fine-tuned |
+
+## Usage
+
+```python
+import torch
+ckpt = torch.load("windarc15.pt", map_location="cpu", weights_only=False)
+cfg  = ckpt["cfg"]
+# Build model from cfg, load ckpt["model"] state dict
+```
+
+## Tokenizer
+
+Uses SentencePiece (`tokenizer.model`). Available in the [shared tokenizer repo](https://huggingface.co/arthu1/north-tokenizer).