Upload README.md with huggingface_hub

README.md

@@ -15,7 +15,7 @@ datasets:
 base_model: mistralai/Mistral-7B-Instruct-v0.2
 ---
 
-# 🧠 Evolve Mistral: Fine-Tuned Mistral-7B-Instruct for AI CRUD & Code Generation
+# Evolve Mistral: Fine-Tuned Mistral-7B-Instruct for AI CRUD & Code Generation
 
 This is a fine-tuned version of [`mistralai/Mistral-7B-Instruct-v0.2`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2), adapted specifically for **code generation, schema-driven CRUD reasoning, and full-stack boilerplate automation**. It powers the AI agent layer behind the [Self-Revolve project](https://github.com/self-evolving-runtimes/revolve).
 
@@ -28,11 +28,11 @@ This is a fine-tuned version of [`mistralai/Mistral-7B-Instruct-v0.2`](https://h
 > “Instantly generate full-stack admin panels, APIs, and UIs from your database schema—powered by AI agents & LLMs.”
 
 **Key capabilities:**
-- 🧠 Auto-generates CRUD APIs from DB schemas
-- ✨ Generates React/MUI admin interfaces
-- 🗃️ Supports SQL & NoSQL databases
-- ⚡ Works without OpenAI keys
-- 🚀 Open-source & self-hostable
+- Auto-generates CRUD APIs from DB schemas
+- Generates React/MUI admin interfaces
+- Supports SQL & NoSQL databases
+- Works without OpenAI keys
+- Open-source & self-hostable
 
 ---
 
@@ -46,7 +46,7 @@ A high-quality Alpaca-style dataset focused on database and backend code generat
 
 ---
 
-## 🏗️ Training Setup
+## Training Setup
 
 | Detail              | Value |
 |---------------------|-------|
@@ -65,7 +65,7 @@ A high-quality Alpaca-style dataset focused on database and backend code generat
 
 ---
 
-## 🧪 Evaluation Summary
+## Evaluation Summary
 
 - Eval runtime: 2.84s  
 - Samples/sec: 2.11  
@@ -75,7 +75,7 @@ A high-quality Alpaca-style dataset focused on database and backend code generat
 
 ---
 
-## 💻 Example Usage (VLLM)
+## Example Usage (VLLM)
 
 ```bash
 vllm-api-server \