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README.md

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-license: mit
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+---
+license: mit
+---
+
+
+# TMLM-Haiku-2.3 
+
+**It speaks. It actually speaks. Mostly.**
+
+We have come so far. From the dark ages of `couldcouldoldbloodblood` to actual, coherent, structured sentences. This is TMLM-Haiku-2.3. It is 1 million parameters. It is small. It is trying its best. And unlike its ancestors, it usually succeeds.
+
+##  Quick Stats
+
+- **Parameters:** 1,000,000 (Yes, really. 1M.)
+- **Training Tokens:** 10 Billion
+- **Context Window:** 2048 tokens
+- **Vibe:** Chaotic good, but mostly good.
+
+## What Is This?
+
+Haiku-2.3 is the latest evolution of the TMLM-Haiku series. It builds on Haiku-2 by adding **SPIN (Self-Play Fine-Tuning)** to the training loop. This model represents a **3x improvement** in combined performance score over the original Haiku. Coherence has jumped from 1.99 to 6.03. Relevance is no longer zero. It is a miracle.
+
+### The Journey
+
+| Model | Era | Typical Output | Combined Score |
+| :--- | :--- | :--- | :--- |
+| **Haiku-1** | The Dark Ages | `couldcouldoldbloodbloodbodybody` | 1.62 |
+| **Haiku-1.3** | The Pipe Character Incident | `\|fdish\|\|\|\|\|!@\|` | 1.21 |
+| **Haiku-2** | The Awakening | `It is about **competent development**...` | 3.87 |
+| **Haiku-2.3 (SPIN)** | **Current Era** | `The artificial intelligence is a problem...` | **4.84 ★** |
+
+**Expected Output:**
+> "The simple terms arrived in simulant explorers and honey are specific or forecasters. They allow the structure of their similar..."
+
+## Disclaimer
+
+This is a **1 million parameter model**.
+- It is not GPT-5.
+- It is not GPT-2.
+- It is a tiny neural network running on a prayer and a GPU.
+- It might still output `chuamliamce` occasionally. If it does, just try again. It is shy.
+- For best results, use temperature around 0.7. If you crank it to 2.0, you are on your own.
+
+## Benchmarks
+
+We benchmarked Haiku-2.3 against all previous versions using a standard 7-question suite.
+
+| Metric | Haiku-1 | Haiku-1.3 | Haiku-2 | **Haiku-2.3 (SPIN)** |
+| :--- | :---: | :---: | :---: | :---: |
+| **Fluency** | 0.50 | 1.69 | 8.35 | **8.78** |
+| **Coherence** | 1.99 | 1.56 | 5.72 | **6.03** |
+| **Relevance** | 1.22 | 0.00 | 0.00 | **2.25** |
+| **Format** | 3.29 | 3.29 | 3.29 | **3.29** |
+| **Combined** | 1.62 | 1.21 | 3.87 | **4.84** |
+
+## Related Models
+
+Check out the rest of the family:
+- [TMLM-Haiku-1](https://huggingface.co/CompactAI-O/TMLM-Haiku-1) (The ancestor)
+- [TMLM-Haiku-1.3](https://huggingface.co/CompactAI-O/TMLM-Haiku-1.3) (The pipe character one)
+- [TMLM-Haiku-2](https://huggingface.co/CompactAI-O/TMLM-Haiku-2) (The breakthrough)
+
+## Acknowledgments
+
+Built with curiosity over compute. Trained on FineWeb-Edu. SPIN optimized. And a lot of hope.
+
+---
+
+**Built by [CompactAI](https://huggingface.co/CompactAI-O).**
+*If you like tiny models that try their best, give us a follow.*
+```