Update README.md

README.md

@@ -9,4 +9,53 @@ base_model:
 new_version: Phonepadith/Laollm
 pipeline_tag: text-generation
 library_name: fastai
----
+---
+
+# 🧠 SEALLM-7B Lao Chat — Fine-tuned on AIDC-5K (Q8 GGUF)
+
+This is a **Lao language chat model** based on [`Qwen/Qwen1.5-7B`](https://huggingface.co/Qwen/Qwen1.5-7B), fine-tuned on the **AIDC 5K Lao prompt-completion dataset**, and exported to **GGUF format** with **Q8_0 quantization** for fast inference using `llama.cpp`, `LM Studio`, or `Ollama`.
+
+---
+
+## 🧾 Model Summary
+
+| Feature              | Details                                      |
+|----------------------|----------------------------------------------|
+| Base Model           | [Qwen1.5-7B](https://huggingface.co/Qwen/Qwen1.5-7B) |
+| Fine-tuned By        | [Phonepadith Phoummavong](https://huggingface.co/Phonepadith) |
+| Language             | Lao (lo)                                     |
+| Dataset              | AIDC 5K Lao Prompt-Completion Dataset        |
+| Quantization         | Q8_0 (8-bit, GGUF)                           |
+| Format               | GGUF                                         |
+| File Name            | `seallm-7b-lao-finetuned-lora-q8.gguf`       |
+| Size (est.)          | ~3–5 GB                                      |
+| License              | apache-2.0                                   |
+
+---
+
+## 💡 Use Cases
+
+- Lao chatbots or digital assistants
+- Cultural and educational tools in Lao
+- Research on low-resource language modeling
+- Lao-native prompt generation and dialogue completion
+
+---
+
+## 📥 How to Use
+
+### 🔸 LM Studio
+
+1. Download the `.gguf` model file.
+2. Open **LM Studio**.
+3. Click **"Add Local Model"**.
+4. Load `seallm-7b-lao-finetuned-lora-q8.gguf`.
+
+### 🔸 Ollama
+
+1. Place the `.gguf` file in your models directory.
+2. Create a `Modelfile`:
+   ```Dockerfile
+   FROM qwen:7b
+   PARAMETER quantization=q8_0
+