Upload README.md

README.md

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 ---
-license: mit
+license: gpl-3.0
 new_version: CompactAI-O/Glint-1
 ---
 
-Note: You must use the custom python script to run this model properly, you can download it from [here](https://huggingface.co/spaces/CompactAI-O/Homepage) by going into the downloads option and scrolling down.
-# TMLM-Haiku-2.3 
+Note: You need the custom python script to run this model. Grab it from [the model runner Space](https://huggingface.co/spaces/CompactAI-O/CompactAIModelRunner).
+
+# Glint-0.4
 
 **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.
+We came so far. From the dark ages of `couldcouldoldbloodblood` to actual, coherent sentences. This is Glint-0.4. 1 million parameters. Small. Trying its best. Unlike its ancestors, it usually succeeds.
 
-##  Quick Stats
+## Quick Stats
 
-- **Parameters:** 1,000,000 (Yes, really. 1M.)
+- **Parameters:** 1,000,000 (yes, really)
 - **Training Tokens:** 10 Billion
 - **Context Window:** 2048 tokens
-- **Vibe:** Chaotic good, but mostly good.
+- **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.
+Glint-0.4 is the latest of the old guard before we started the Glint line proper. It builds on Glint-0.3 by adding SPIN (Self-Play Fine-Tuning) to the training loop. This model represents a 3x improvement in combined score over the original Glint-0.1. Coherence jumped from 1.99 to 6.03. Relevance is no longer zero. It is a miracle.
 
-### The Journey
+### The journey
 
-| Model | Era | Typical Output | Combined Score |
+| Model | Era | Typical Output | Combined |
 | :--- | :--- | :--- | :--- |
-| **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 ★** |
+| **Glint-0.1** | The Dark Ages | `couldcouldoldbloodbloodbodybody` | 1.62 |
+| **Glint-0.2** | Pipe Character Incident | `\|fdish\|\|\|\|\|!@\|` | 1.21 |
+| **Glint-0.3** | The Awakening | `It is about **competent development**...` | 3.87 |
+| **Glint-0.4 (SPIN)** | Current Era | `The artificial intelligence is a problem...` | **4.84** |
 
-**Expected Output:**
+**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**.
+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.
+- It might still output `chuamliamce`. If it does, try again. It is shy.
+- For best results, use temperature around 0.7. At 2.0, you are on your own.
 
 ## Benchmarks
 
-We benchmarked Haiku-2.3 against all previous versions using a standard 7-question suite.
+We benchmarked Glint-0.4 against all previous versions using a standard 7-question suite. Yes, 7 questions. We kept it small because we were running on a laptop.
 
-| Metric | Haiku-1 | Haiku-1.3 | Haiku-2 | **Haiku-2.3 (SPIN)** |
+| Metric | Glint-0.1 | Glint-0.2 | Glint-0.3 | **Glint-0.4 (SPIN)** |
 | :--- | :---: | :---: | :---: | :---: |
 | **Fluency** | 0.50 | 1.69 | 8.35 | **8.78** |
 | **Coherence** | 1.99 | 1.56 | 5.72 | **6.03** |
@@ -56,17 +57,16 @@ We benchmarked Haiku-2.3 against all previous versions using a standard 7-questi
 
 ## 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)
+- [Glint-0.1](https://huggingface.co/CompactAI-O/Glint-0.1) (the ancestor)
+- [Glint-0.2](https://huggingface.co/CompactAI-O/Glint-0.2) (the pipe character one)
+- [Glint-0.3](https://huggingface.co/CompactAI-O/Glint-0.3) (the breakthrough)
+- [Glint-1](https://huggingface.co/CompactAI-O/Glint-1) (the current gen)
 
 ## Acknowledgments
 
-Built with curiosity over compute. Trained on FineWeb-Edu. SPIN optimized. And a lot of hope.
+Built with curiosity over compute. Trained on FineWeb-Edu. SPIN optimized. 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.*
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