Update README.md

README.md

@@ -9,14 +9,64 @@ tags:
 license: apache-2.0
 language:
 - en
+- tl
+datasets:
+- Linggowiktiks/AnoNa
 ---
 
-# Uploaded  model
+# 🦙 Liyama-3B
 
-- **Developed by:** Linggowiktiks
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
+**Liyama-3B** is a fine-tuned version of Meta’s LLaMA-3B (3.2) model, built to understand and respond fluently in **Tagalog**. It was trained on the **AnoNa** dataset over **3 epochs**, aiming for natural, context-aware instruction-following in Filipino.
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+---
+
+## 🔤 Origin of the Name
+The name **Liyama** is a Tagalified version of *llama*, reflecting both its LLaMA base and its Tagalog-focused language capabilities. It mirrors how Filipino often adapts foreign terms into familiar, phonetic forms—like *camera → kamera*, *lion → leon*, and now, *llama → liyama*.
+
+---
+
+## 🧠 Training Data: The AnoNa Dataset
+
+Liyama-3B was trained solely on **response completions** from the **AnoNa** dataset — a self-instruct corpus generated using **Gemini 1.5** and **2.0**.
+
+Inspired by **SimpleQnA**, the dataset contains short, helpful instruction-response pairs. But **AnoNa** introduces several improvements:
+
+- ✅ **Less English, More Tagalog** prompts  
+- ✅ **Less IFEVAL-style formatting**  
+- ✅ **No overuse of modifiers** in instructions  
+- ✅ **Balanced task types** to avoid dominant categories  
+- ✅ **Complex tasks favored** (65% complex / 35% simple)  
+- ✅ **Reduced sycophancy** and generic praise  
+- ✅ **Improved follow-up handling**  
+- ✅ **AI self-intro appears only when relevant**  
+- ✅ **Implicit chain-of-thought reasoning**, not labeled  
+- ✅ **Extra task types** added to increase variety  
+
+This focus creates a model that's practical, straightforward, and tuned for **realistic conversational use in Filipino**, without excessive formatting or irrelevant disclaimers.
+
+---
+
+## 🗣️ Use Case
+
+Liyama-3B is ideal for:
+- Answering questions in Tagalog
+- Writing essays, reflections, and letters in Filipino
+- Following natural instructions, even when mixed with English
+- Chat-based tasks where fluency and tone matter
+- Educational or community apps centered around local language use
+
+---
+
+## 📦 Model Details
+
+| Feature            | Value                      |
+|--------------------|----------------------------|
+| Base Model         | LLaMA-3B v3.2              |
+| Fine-tuned Dataset | AnoNa                      |
+| Epochs             | 3                          |
+| Language Focus     | Tagalog (with some English)|
+| Prompt Format      | Responses only             |
+
+---
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+Liyama-3B is part of a broader effort to create open, practical Filipino-language models for real use—not just benchmarks. Expect follow-ups tuned for multi-turn chat, reasoning, and creative tasks.