---
title: SimpleAI-259M
emoji: ⚡
colorFrom: indigo
colorTo: gray
sdk: docker
pinned: false
license: mit
short_description: A compact, general-purpose LLM for reasoning and logic.
---

# ⚡ SimpleAI-259M

**SimpleAI-259M** is a high-performance Large Language Model (LLM). It is the result of a targeted SFT (Supervised Fine-Tuning) run focused on unlocking reasoning, numeracy, and character-level precision.

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## 🚀 SFT Training Report (Step 971)
Final Loss: **1.0419**

### 📊 Benchmark Performance
| Category | Score | Status |
| :--- | :--- | :--- |
| **ARC-Easy** | **35.19%** | 📈 Reasoning Gain |
| **MMLU** | **30.96%** | ✅ General Knowledge |
| **GSM8K (Math)** | **12.50%** | 🚀 Numeracy Breakthrough |
| **SpellingBee** | **100.00%** | 🏆 Perfect Character Accuracy |

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## 🔮 Future Roadmap: SimpleAI Series
1. **SimpleAI-D12-v2:** Enhanced dataset targeting sub-1.0 training loss.
2. **SimpleAI-D24:** A deeper 24-layer variant for multi-step logical deduction.
3. **SimpleAI-Omni:** Multimodal integration for cross-modal reasoning.

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## 🧑‍💻 Usage
The model uses standard system tags for interaction:
- `<|user_start|>` / `<|user_end|>`
- `<|assistant_start|>`