Update README.md

README.md

@@ -3,16 +3,74 @@ tags:
 - gguf
 - llama.cpp
 - unsloth
-
+license: mit
+datasets:
+- Yusiko/lia_dataset
+language:
+- az
+- en
+base_model:
+- meta-llama/Llama-3.1-8B
 ---
 
-# LIA - GGUF
+# 🤓LIA (Llama 3.1 8B — Finetuned with Unsloth)
+
+A finetuned Llama 3.1 8B model specialized for Local Intelligent Agent (LIA) intent parsing and local file/system actions. The model converts user requests into compact JSON that LIA executes safely.
+
+## Overview🧐
+- Base: Llama 3.1 8B Instruct
+- Method: Unsloth SFT (LoRA), merged for deployment
+- Dataset: Custom, user-created (intent pairs)
+- Output: Raw JSON only (no markdown), with keys: command_type, parameters, reasoning
+- Primary goal: Deterministic intent parsing for desktop automation
+
+## 😎Purpose and Tasks
+- Parse file/folder operations: open, list, create, write, read, delete, copy, move, rename
+- Interpret patterns (e.g., *.pdf) and paths
+- Safe fallback to `chat` intent when not a file operation
+- Produce stable JSON without code fences or extra prose
+
+Example output:
+```json
+{
+  "command_type": "list_files",
+  "parameters": {"path": "Downloads", "pattern": "*.pdf"},
+  "reasoning": "User wants to list PDFs in Downloads"
+}
+```
+
+## 😲Differences vs Original Llama 3.1 8B
+- More consistent JSON-only answers for intent parsing
+- Lower hallucination rate on file/command names
+- Better handling of short/telegraphic commands
+- Tuned for low temperature decoding (0.1–0.3)
+
+## Training (Unsloth)
+- LoRA-based SFT on user dataset (input → JSON output pairs)
+- Chat template aligned with Llama 3.1
+- System prompt stresses: “Return raw JSON only”
+- Adapters merged to a full checkpoint for serving
+
+## Using with Ollama
+Model reference: `hf.co/Yusiko/LIA`
+
+Modelfile:
+```Dockerfile
+FROM hf.co/Yusiko/LIA
+PARAMETER temperature 0.2
+PARAMETER num_ctx 4096
+SYSTEM You are an intent parser for a local agent. Reply with raw JSON only: keys command_type, parameters, reasoning. No markdown.
+```
 
-This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
+Quick start (Ollama):
+```bash
+ollama run hf.co/Yusiko/LIA:Q4_K_M
+```
 
-**Example usage**:
-- For text only LLMs:    **llama-cli** **--hf** repo_id/model_name **-p** "why is the sky blue?"
-- For multimodal models: **llama-mtmd-cli** **-m** model_name.gguf **--mmproj** mmproj_file.gguf
+## 📃License and Credits
+- Base: Meta Llama 3.1 8B Instruct (respect base license)
+- Finetuning: Unsloth
+- Packaging: Ollama
+- LIA is protecting with MIT license
 
-## Available Model files:
-- `meta-llama-3.1-8b.Q4_K_M.gguf`
+For questions or integration help, open an issue on the repository.