🚀 Complete Dwrko-M1.0 setup with HuggingFace upload tools

- Added professional upload script (upload_to_hf.py)
- Added one-click upload script (quick_upload.sh)
- Added complete Hindi guide (HUGGINGFACE_UPLOAD.md)
- Updated QUICKSTART.md with upload instructions
- Resolved merge conflicts and integrated with HuggingFace Space
- Ready for Claude-like AI assistant training and deployment

HUGGINGFACE_UPLOAD.md

@@ -0,0 +1,281 @@
+# 🚀 HuggingFace पर Dwrko-M1.0 Upload करना
+
+**Complete Step-by-Step Guide** - हिंदी में समझाया गया!
+
+## 📋 Pre-Requirements (पहले से चाहिए)
+
+1. **HuggingFace Account** - [huggingface.co](https://huggingface.co) पर account बनाएं
+2. **Trained Model** - आपका `dwrko-m1.0` model ready हो
+3. **HuggingFace Token** - Access token generate करें
+
+---
+
+## 🔑 Step 1: HuggingFace Token बनाना
+
+### 1.1 HuggingFace पर Login करें
+```
+https://huggingface.co/login
+```
+
+### 1.2 Token Generate करें
+1. Profile → Settings → Access Tokens पर जाएं
+2. "New token" पर click करें
+3. Token name: `Dwrko-M1.0-Upload`
+4. Type: **Write** select करें
+5. "Generate" पर click करें
+6. Token को copy करके safe रखें ⚠️
+
+---
+
+## 🛠️ Step 2: Dependencies Install करना
+
+### Virtual Environment बनाएं (Recommended):
+```bash
+# Virtual environment बनाएं
+python3 -m venv dwrko_env
+
+# Activate करें
+source dwrko_env/bin/activate  # Linux/Mac
+# या
+dwrko_env\Scripts\activate     # Windows
+
+# Dependencies install करें
+pip install huggingface_hub transformers peft torch
+```
+
+### System-wide Install (Alternative):
+```bash
+pip install --user huggingface_hub transformers peft torch
+```
+
+---
+
+## 🚀 Step 3: Model Upload करना
+
+### Method 1: Automated Script (आसान तरीका)
+
+```bash
+# Upload script run करें
+python upload_to_hf.py \
+  --model_path ./dwrko-m1.0 \
+  --username YOUR_USERNAME \
+  --repo_name Dwrko-M1.0
+
+# Example:
+python upload_to_hf.py \
+  --model_path ./dwrko-m1.0 \
+  --username rajat123 \
+  --repo_name Dwrko-M1.0
+```
+
+### Method 2: Manual Commands
+
+```bash
+# 1. Login करें
+huggingface-cli login
+# Token paste करें जब पूछे
+
+# 2. Repository create करें
+huggingface-cli repo create Dwrko-M1.0 --type model
+
+# 3. Model upload करें
+huggingface-cli upload Dwrko-M1.0/ ./dwrko-m1.0 --repo-type model
+```
+
+### Method 3: Python Script से
+
+```python
+from huggingface_hub import HfApi, login
+
+# Login करें
+login(token="YOUR_TOKEN_HERE")
+
+# Upload करें
+api = HfApi()
+api.upload_folder(
+    folder_path="./dwrko-m1.0",
+    repo_id="your-username/Dwrko-M1.0",
+    repo_type="model"
+)
+```
+
+---
+
+## 📁 Step 4: Model Files Check करना
+
+Upload करने से पहले ये files होनी चाहिए:
+
+```
+dwrko-m1.0/
+├── adapter_config.json      ✅ LoRA configuration
+├── adapter_model.safetensors ✅ Trained weights
+├── tokenizer_config.json    ✅ Tokenizer settings
+├── special_tokens_map.json  ✅ Special tokens
+├── model_info.json          ✅ Model information
+└── README.md               ✅ Model card (auto-created)
+```
+
+### Files Check करने के लिए:
+```bash
+ls -la ./dwrko-m1.0/
+```
+
+---
+
+## 🎯 Step 5: Upload Process
+
+### Complete Upload Command:
+```bash
+python upload_to_hf.py \
+  --model_path ./dwrko-m1.0 \
+  --username YOUR_USERNAME \
+  --repo_name Dwrko-M1.0 \
+  --token YOUR_TOKEN
+```
+
+### Upload होने के बाद:
+```
+🚀 Uploading Dwrko-M1.0 to HuggingFace Hub...
+✅ Repository created/updated: https://huggingface.co/YOUR_USERNAME/Dwrko-M1.0
+✅ Model card created
+🎉 Successfully uploaded Dwrko-M1.0 to HuggingFace!
+🔗 Model URL: https://huggingface.co/YOUR_USERNAME/Dwrko-M1.0
+```
+
+---
+
+## 🔧 Troubleshooting (समस्या समाधान)
+
+### ❌ "externally-managed-environment" Error
+```bash
+# Solution 1: Virtual environment use करें
+python3 -m venv dwrko_env
+source dwrko_env/bin/activate
+pip install huggingface_hub
+
+# Solution 2: User install
+pip install --user huggingface_hub
+
+# Solution 3: System packages (Ubuntu/Debian)
+sudo apt install python3-huggingface-hub
+```
+
+### ❌ "Authentication Error"
+```bash
+# Token re-generate करें
+# Profile → Settings → Access Tokens
+# Old token delete करके new बनाएं
+
+# Login फिर से करें
+huggingface-cli login
+```
+
+### ❌ "Repository already exists"
+```bash
+# Force update करें
+python upload_to_hf.py \
+  --model_path ./dwrko-m1.0 \
+  --username YOUR_USERNAME \
+  --repo_name Dwrko-M1.0-v2  # नया नाम दें
+```
+
+### ❌ "Large file upload failed"
+```bash
+# Git LFS enable करें
+git lfs install
+
+# बड़ी files के लिए:
+huggingface-cli lfs-enable-largefiles ./dwrko-m1.0
+```
+
+---
+
+## 📊 Post-Upload Checklist
+
+Upload के बाद ये check करें:
+
+### ✅ Model Page पर जाकर:
+1. **Model Card** properly display हो रहा है
+2. **Files** सभी upload हुई हैं
+3. **Usage Examples** काम कर रहे हैं
+4. **Tags** properly set हैं
+
+### ✅ Test करें:
+```python
+from transformers import pipeline
+
+# Your uploaded model test करें
+generator = pipeline(
+    "text-generation",
+    model="YOUR_USERNAME/Dwrko-M1.0",
+    tokenizer="mistralai/Mistral-7B-v0.1"
+)
+
+response = generator("### Instruction:\nWrite a hello world program\n\n### Response:\n")
+print(response[0]['generated_text'])
+```
+
+---
+
+## 🌟 Advanced Options
+
+### Private Repository बनाना:
+```bash
+python upload_to_hf.py \
+  --model_path ./dwrko-m1.0 \
+  --username YOUR_USERNAME \
+  --repo_name Dwrko-M1.0 \
+  --private
+```
+
+### Custom Model Card:
+```bash
+# अपना README.md बनाएं
+echo "# My Custom Dwrko-M1.0" > ./dwrko-m1.0/README.md
+
+# Upload करें
+python upload_to_hf.py --model_path ./dwrko-m1.0 --username YOUR_USERNAME
+```
+
+### Multiple Versions:
+```bash
+# Version tags के साथ
+python upload_to_hf.py \
+  --model_path ./dwrko-m1.0 \
+  --username YOUR_USERNAME \
+  --repo_name Dwrko-M1.0-v1.1
+```
+
+---
+
+## 🎉 Success! अब आपका Model Live है!
+
+### Model URL:
+```
+https://huggingface.co/YOUR_USERNAME/Dwrko-M1.0
+```
+
+### Share करें:
+- Social media पर post करें
+- Community में share करें  
+- Documentation में link add करें
+- README में badge लगाएं
+
+### Badge Example:
+```markdown
+[![HuggingFace](https://img.shields.io/badge/🤗%20HuggingFace-Dwrko--M1.0-blue)](https://huggingface.co/YOUR_USERNAME/Dwrko-M1.0)
+```
+
+---
+
+## 💡 Pro Tips
+
+1. **Model Name**: Descriptive और unique रखें
+2. **Tags**: Relevant tags add करें (`coding`, `reasoning`, `mistral`)
+3. **Documentation**: Complete usage examples दें
+4. **Version Control**: Regular updates करते रहें
+5. **Community**: Feedback के लिए discussions enable करें
+
+---
+
+**🚀 Congratulations! आपका Dwrko-M1.0 अब HuggingFace पर live है!** 🎉 

QUICKSTART.md

@@ -33,6 +33,15 @@ python test_dwrko.py --model_path ./my-dwrko-m1.0 --test_suite
 python test_dwrko.py --model_path ./my-dwrko-m1.0 --interactive
 ```
 
+### 5. 🚀 Upload to HuggingFace
+```bash
+# Super easy one-click upload!
+./quick_upload.sh
+
+# Or manual upload
+python upload_to_hf.py --model_path ./my-dwrko-m1.0 --username YOUR_USERNAME
+```
+
 ## 🎯 Training Commands
 
 ### Basic Training
@@ -79,6 +88,36 @@ python test_dwrko.py --model_path ./dwrko-m1.0 --single_test "Write a Python fun
 python test_dwrko.py --model_path ./dwrko-m1.0 --interactive
 ```
 
+### 6. 🌐 HuggingFace Upload Commands
+
+#### Quick Upload (Automated)
+```bash
+# One-click upload script
+./quick_upload.sh
+```
+
+#### Manual Upload
+```bash
+# Python script
+python upload_to_hf.py \
+  --model_path ./dwrko-m1.0 \
+  --username YOUR_USERNAME \
+  --repo_name Dwrko-M1.0
+
+# CLI method
+huggingface-cli login
+huggingface-cli upload ./dwrko-m1.0 YOUR_USERNAME/Dwrko-M1.0 --repo-type model
+```
+
+#### Private Repository
+```bash
+python upload_to_hf.py \
+  --model_path ./dwrko-m1.0 \
+  --username YOUR_USERNAME \
+  --repo_name Dwrko-M1.0 \
+  --private
+```
+
 ## 📚 Data Format
 
 Your training data should be in JSONL format:
@@ -110,9 +149,23 @@ python train.py --fp16 True --gradient_checkpointing True
 python -c "import torch; torch.cuda.empty_cache()"
 ```
 
+### HuggingFace Upload Issues?
+```bash
+# Setup virtual environment
+python3 -m venv dwrko_env
+source dwrko_env/bin/activate
+pip install huggingface_hub
+
+# Re-login
+huggingface-cli login
+
+# Check files
+ls -la ./dwrko-m1.0/
+```
+
 ## 🌟 Next Steps
 
-1. **Upload to HuggingFace**: `huggingface-cli upload ./dwrko-m1.0/ your-username/Dwrko-M1.0`
+1. **Upload to HuggingFace**: `./quick_upload.sh` या `python upload_to_hf.py`
 2. **Share with Community**: Post your results and get feedback
 3. **Improve Training**: Add more data and train longer
 4. **Deploy**: Use your model in production applications
@@ -123,6 +176,7 @@ python -c "import torch; torch.cuda.empty_cache()"
 - Use **wandb** to monitor training progress
 - Save checkpoints frequently during long training runs
 - Test your model on diverse tasks to ensure quality
+- **Upload to HuggingFace** to share with the world! 🌍
 - Join our community for support and tips!
 
 ---

quick_upload.sh

@@ -0,0 +1,95 @@
+#!/bin/bash
+
+# 🚀 Dwrko-M1.0 Quick Upload Script
+# HuggingFace पर model upload करने के लिए
+
+echo "🤖 Dwrko-M1.0 HuggingFace Upload Script"
+echo "======================================"
+
+# Check if virtual environment exists
+if [ ! -d "../dwrko_env" ]; then
+    echo "📦 Creating virtual environment..."
+    python3 -m venv ../dwrko_env
+    
+    echo "📥 Installing dependencies..."
+    source ../dwrko_env/bin/activate
+    pip install huggingface_hub transformers peft
+else
+    echo "✅ Virtual environment found"
+    source ../dwrko_env/bin/activate
+fi
+
+# Get user inputs
+echo ""
+echo "📋 Upload Configuration:"
+read -p "🏷️  HuggingFace Username: " USERNAME
+read -p "📁 Model Path (default: ./dwrko-m1.0): " MODEL_PATH
+MODEL_PATH=${MODEL_PATH:-./dwrko-m1.0}
+read -p "🎯 Repository Name (default: Dwrko-M1.0): " REPO_NAME
+REPO_NAME=${REPO_NAME:-Dwrko-M1.0}
+
+echo ""
+echo "🔍 Checking model files..."
+
+# Check if model directory exists
+if [ ! -d "$MODEL_PATH" ]; then
+    echo "❌ Error: Model directory not found: $MODEL_PATH"
+    echo "💡 Please train your model first using: python train.py"
+    exit 1
+fi
+
+# Check required files
+REQUIRED_FILES=("adapter_config.json" "adapter_model.safetensors")
+for file in "${REQUIRED_FILES[@]}"; do
+    if [ ! -f "$MODEL_PATH/$file" ]; then
+        echo "❌ Missing required file: $file"
+        echo "💡 Please complete training first"
+        exit 1
+    fi
+done
+
+echo "✅ All required files found"
+
+# Login to HuggingFace
+echo ""
+echo "🔑 Logging into HuggingFace..."
+echo "💡 You'll need to paste your HuggingFace token"
+echo "   Get it from: https://huggingface.co/settings/tokens"
+
+huggingface-cli login
+
+if [ $? -ne 0 ]; then
+    echo "❌ Login failed. Please check your token."
+    exit 1
+fi
+
+echo "✅ Login successful"
+
+# Upload model
+echo ""
+echo "🚀 Uploading $REPO_NAME to HuggingFace..."
+echo "📁 From: $MODEL_PATH"
+echo "🎯 To: $USERNAME/$REPO_NAME"
+
+# Use Python script for upload
+python upload_to_hf.py \
+    --model_path "$MODEL_PATH" \
+    --username "$USERNAME" \
+    --repo_name "$REPO_NAME"
+
+if [ $? -eq 0 ]; then
+    echo ""
+    echo "🎉 SUCCESS! Your model is now live!"
+    echo "🔗 URL: https://huggingface.co/$USERNAME/$REPO_NAME"
+    echo ""
+    echo "📤 Share your model:"
+    echo "   • Social media पर post करें"
+    echo "   • Community में share करें"
+    echo "   • README में badge add करें"
+    echo ""
+    echo "Badge:"
+    echo "[![HuggingFace](https://img.shields.io/badge/🤗%20HuggingFace-$REPO_NAME-blue)](https://huggingface.co/$USERNAME/$REPO_NAME)"
+else
+    echo "❌ Upload failed. Check the error messages above."
+    exit 1
+fi