update repository location

Author: RETR0-OS

ModelForge/routers/models_router.py

@@ -3,17 +3,52 @@
 Handles model listing and retrieval operations.
 """
 from fastapi import APIRouter, HTTPException, Depends
-from typing import List, Dict
+from typing import List, Dict, Any
+from pydantic import BaseModel
 
 from ..services.model_service import ModelService
 from ..dependencies import get_model_service
 from ..logging_config import logger
 
 
+class ModelsResponse(BaseModel):
+    """Response model for list of models."""
+    models: List[Dict[str, Any]]
+
+
 router = APIRouter(prefix="/models")
 
 
-@router.get("/", response_model=List[Dict])
+@router.get("/all", response_model=ModelsResponse)
+async def get_all_models_legacy(
+    model_service: ModelService = Depends(get_model_service),
+):
+    """
+    Get all fine-tuned models (legacy endpoint for backward compatibility).
+
+    Args:
+        model_service: Model service instance
+
+    Returns:
+        Dictionary with models list
+    """
+    logger.info("Fetching all models (legacy endpoint)")
+    try:
+        models = model_service.get_all_models()
+        # Transform field names to match frontend expectations
+        transformed_models = []
+        for model in models:
+            transformed_model = model.copy()
+            transformed_model["model_name"] = model["name"]
+            transformed_model["model_path"] = model["path"]
+            transformed_models.append(transformed_model)
+        return ModelsResponse(models=transformed_models)
+    except Exception as e:
+        logger.error(f"Error fetching models: {e}")
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/", response_model=ModelsResponse)
 async def get_all_models(
     model_service: ModelService = Depends(get_model_service),
 ):
@@ -24,12 +59,19 @@ async def get_all_models(
         model_service: Model service instance
 
     Returns:
-        List of all models
+        Dictionary with models list
     """
     logger.info("Fetching all models")
     try:
         models = model_service.get_all_models()
-        return models
+        # Transform field names to match frontend expectations
+        transformed_models = []
+        for model in models:
+            transformed_model = model.copy()
+            transformed_model["model_name"] = model["name"]
+            transformed_model["model_path"] = model["path"]
+            transformed_models.append(transformed_model)
+        return ModelsResponse(models=transformed_models)
     except Exception as e:
         logger.error(f"Error fetching models: {e}")
         raise HTTPException(status_code=500, detail=str(e))

README.md

@@ -3,7 +3,7 @@
 [![PyPI Downloads](https://static.pepy.tech/personalized-badge/modelforge-finetuning?period=total&units=INTERNATIONAL_SYSTEM&left_color=BLACK&right_color=BLUE&left_text=downloads)](https://pepy.tech/projects/modelforge-finetuning)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 [![Python 3.11](https://img.shields.io/badge/python-3.11-blue.svg)](https://www.python.org/downloads/)
-[![Version](https://img.shields.io/badge/version-2.0.1-blue)](https://github.com/RETR0-OS/ModelForge)
+[![Version](https://img.shields.io/badge/version-2.0.1-blue)](https://github.com/ForgeOpus/ModelForge)
 
 **Fine-tune LLMs on your laptop's GPU—no code, no PhD, no hassle.**
 
@@ -20,7 +20,7 @@ ModelForge v2.0 is a complete architectural overhaul bringing **2x faster traini
 - 🏗️ **Modular Architecture** for easy extensibility
 - 🔒 **Production-Ready** with proper error handling and logging
 
-**[See What's New in v2.0 →](https://github.com/RETR0-OS/ModelForge/tree/main/docs/getting-started/whats-new.md)**
+**[See What's New in v2.0 →](https://github.com/ForgeOpus/ModelForge/tree/main/docs/getting-started/whats-new.md)**
 
 ## 🚀 Features
 
@@ -50,7 +50,7 @@ ModelForge v2.0 is a complete architectural overhaul bringing **2x faster traini
 
 > **⚠️ macOS is NOT supported.** ModelForge requires NVIDIA CUDA which is not available on macOS. Use Linux or Windows with NVIDIA GPU.
 > 
-> **Windows Users**: See [Windows Installation Guide](https://github.com/RETR0-OS/ModelForge/tree/main/docs/installation/windows.md) for platform-specific instructions, especially for Unsloth support.
+> **Windows Users**: See [Windows Installation Guide](https://github.com/ForgeOpus/ModelForge/tree/main/docs/installation/windows.md) for platform-specific instructions, especially for Unsloth support.
 
 ### Installation
 
@@ -88,52 +88,52 @@ modelforge run
 
 Open your browser to **http://localhost:8000** and start training!
 
-**[Full Quick Start Guide →](https://github.com/RETR0-OS/ModelForge/tree/main/docs/getting-started/quickstart.md)**
+**[Full Quick Start Guide →](https://github.com/ForgeOpus/ModelForge/tree/main/docs/getting-started/quickstart.md)**
 
 ## 📚 Documentation
 
 ### Getting Started
-- **[Quick Start Guide](https://github.com/RETR0-OS/ModelForge/tree/main/docs/getting-started/quickstart.md)** - Get up and running in 5 minutes
-- **[What's New in v2.0](https://github.com/RETR0-OS/ModelForge/tree/main/docs/getting-started/whats-new.md)** - Major features and improvements
+- **[Quick Start Guide](https://github.com/ForgeOpus/ModelForge/tree/main/docs/getting-started/quickstart.md)** - Get up and running in 5 minutes
+- **[What's New in v2.0](https://github.com/ForgeOpus/ModelForge/tree/main/docs/getting-started/whats-new.md)** - Major features and improvements
 
 ### Installation
-- **[Windows Installation](https://github.com/RETR0-OS/ModelForge/tree/main/docs/installation/windows.md)** - Complete Windows setup (including WSL and Docker)
-- **[Linux Installation](https://github.com/RETR0-OS/ModelForge/tree/main/docs/installation/linux.md)** - Linux setup guide
-- **[Post-Installation](https://github.com/RETR0-OS/ModelForge/tree/main/docs/installation/post-installation.md)** - Initial configuration
+- **[Windows Installation](https://github.com/ForgeOpus/ModelForge/tree/main/docs/installation/windows.md)** - Complete Windows setup (including WSL and Docker)
+- **[Linux Installation](https://github.com/ForgeOpus/ModelForge/tree/main/docs/installation/linux.md)** - Linux setup guide
+- **[Post-Installation](https://github.com/ForgeOpus/ModelForge/tree/main/docs/installation/post-installation.md)** - Initial configuration
 
 ### Configuration & Usage
-- **[Configuration Guide](https://github.com/RETR0-OS/ModelForge/tree/main/docs/configuration/configuration-guide.md)** - All configuration options
-- **[Dataset Formats](https://github.com/RETR0-OS/ModelForge/tree/main/docs/configuration/dataset-formats.md)** - Preparing your training data
-- **[Training Tasks](https://github.com/RETR0-OS/ModelForge/tree/main/docs/configuration/training-tasks.md)** - Understanding different tasks
-- **[Hardware Profiles](https://github.com/RETR0-OS/ModelForge/tree/main/docs/configuration/hardware-profiles.md)** - Optimizing for your GPU
+- **[Configuration Guide](https://github.com/ForgeOpus/ModelForge/tree/main/docs/configuration/configuration-guide.md)** - All configuration options
+- **[Dataset Formats](https://github.com/ForgeOpus/ModelForge/tree/main/docs/configuration/dataset-formats.md)** - Preparing your training data
+- **[Training Tasks](https://github.com/ForgeOpus/ModelForge/tree/main/docs/configuration/training-tasks.md)** - Understanding different tasks
+- **[Hardware Profiles](https://github.com/ForgeOpus/ModelForge/tree/main/docs/configuration/hardware-profiles.md)** - Optimizing for your GPU
 
 ### Providers
-- **[Provider Overview](https://github.com/RETR0-OS/ModelForge/tree/main/docs/providers/overview.md)** - Understanding providers
-- **[HuggingFace Provider](https://github.com/RETR0-OS/ModelForge/tree/main/docs/providers/huggingface.md)** - Standard HuggingFace models
-- **[Unsloth Provider](https://github.com/RETR0-OS/ModelForge/tree/main/docs/providers/unsloth.md)** - 2x faster training
+- **[Provider Overview](https://github.com/ForgeOpus/ModelForge/tree/main/docs/providers/overview.md)** - Understanding providers
+- **[HuggingFace Provider](https://github.com/ForgeOpus/ModelForge/tree/main/docs/providers/huggingface.md)** - Standard HuggingFace models
+- **[Unsloth Provider](https://github.com/ForgeOpus/ModelForge/tree/main/docs/providers/unsloth.md)** - 2x faster training
 
 ### Training Strategies
-- **[Strategy Overview](https://github.com/RETR0-OS/ModelForge/tree/main/docs/strategies/overview.md)** - Understanding strategies
-- **[SFT Strategy](https://github.com/RETR0-OS/ModelForge/tree/main/docs/strategies/sft.md)** - Standard supervised fine-tuning
-- **[QLoRA Strategy](https://github.com/RETR0-OS/ModelForge/tree/main/docs/strategies/qlora.md)** - Memory-efficient training
-- **[RLHF Strategy](https://github.com/RETR0-OS/ModelForge/tree/main/docs/strategies/rlhf.md)** - Reinforcement learning
-- **[DPO Strategy](https://github.com/RETR0-OS/ModelForge/tree/main/docs/strategies/dpo.md)** - Direct preference optimization
+- **[Strategy Overview](https://github.com/ForgeOpus/ModelForge/tree/main/docs/strategies/overview.md)** - Understanding strategies
+- **[SFT Strategy](https://github.com/ForgeOpus/ModelForge/tree/main/docs/strategies/sft.md)** - Standard supervised fine-tuning
+- **[QLoRA Strategy](https://github.com/ForgeOpus/ModelForge/tree/main/docs/strategies/qlora.md)** - Memory-efficient training
+- **[RLHF Strategy](https://github.com/ForgeOpus/ModelForge/tree/main/docs/strategies/rlhf.md)** - Reinforcement learning
+- **[DPO Strategy](https://github.com/ForgeOpus/ModelForge/tree/main/docs/strategies/dpo.md)** - Direct preference optimization
 
 ### API Reference
-- **[REST API](https://github.com/RETR0-OS/ModelForge/tree/main/docs/api-reference/rest-api.md)** - Complete API documentation
-- **[Training Config Schema](https://github.com/RETR0-OS/ModelForge/tree/main/docs/api-reference/training-config.md)** - Configuration options
+- **[REST API](https://github.com/ForgeOpus/ModelForge/tree/main/docs/api-reference/rest-api.md)** - Complete API documentation
+- **[Training Config Schema](https://github.com/ForgeOpus/ModelForge/tree/main/docs/api-reference/training-config.md)** - Configuration options
 
 ### Troubleshooting
-- **[Common Issues](https://github.com/RETR0-OS/ModelForge/tree/main/docs/troubleshooting/common-issues.md)** - Frequently encountered problems
-- **[Windows Issues](https://github.com/RETR0-OS/ModelForge/tree/main/docs/troubleshooting/windows-issues.md)** - Windows-specific troubleshooting
-- **[FAQ](https://github.com/RETR0-OS/ModelForge/tree/main/docs/troubleshooting/faq.md)** - Frequently asked questions
+- **[Common Issues](https://github.com/ForgeOpus/ModelForge/tree/main/docs/troubleshooting/common-issues.md)** - Frequently encountered problems
+- **[Windows Issues](https://github.com/ForgeOpus/ModelForge/tree/main/docs/troubleshooting/windows-issues.md)** - Windows-specific troubleshooting
+- **[FAQ](https://github.com/ForgeOpus/ModelForge/tree/main/docs/troubleshooting/faq.md)** - Frequently asked questions
 
 ### Contributing
-- **[Contributing Guide](https://github.com/RETR0-OS/ModelForge/tree/main/docs/contributing/contributing.md)** - How to contribute
-- **[Architecture](https://github.com/RETR0-OS/ModelForge/tree/main/docs/contributing/architecture.md)** - Understanding the codebase
-- **[Model Configurations](https://github.com/RETR0-OS/ModelForge/tree/main/docs/contributing/model-configs.md)** - Adding model recommendations
+- **[Contributing Guide](https://github.com/ForgeOpus/ModelForge/tree/main/docs/contributing/contributing.md)** - How to contribute
+- **[Architecture](https://github.com/ForgeOpus/ModelForge/tree/main/docs/contributing/architecture.md)** - Understanding the codebase
+- **[Model Configurations](https://github.com/ForgeOpus/ModelForge/tree/main/docs/contributing/model-configs.md)** - Adding model recommendations
 
-**[📖 Full Documentation Index →](https://github.com/RETR0-OS/ModelForge/tree/main/docs/README.md)**
+**[📖 Full Documentation Index →](https://github.com/ForgeOpus/ModelForge/tree/main/docs/README.md)**
 
 ## 🔧 Platform Support
 
@@ -144,16 +144,16 @@ Open your browser to **http://localhost:8000** and start training!
 | **WSL 2** | ✅ Full support | ✅ Full support | Recommended for Windows users |
 | **Docker** | ✅ Full support | ✅ Full support | With NVIDIA runtime |
 
-**[Platform-Specific Installation Guides →](https://github.com/RETR0-OS/ModelForge/tree/main/docs/installation/)**
+**[Platform-Specific Installation Guides →](https://github.com/ForgeOpus/ModelForge/tree/main/docs/installation/)**
 
 ## ⚠️ Important Notes
 
 ### Windows Users
 
 **Unsloth provider is NOT supported on native Windows.** For 2x faster training with Unsloth:
 
-1. **Option 1: WSL (Recommended)** - [WSL Installation Guide](https://github.com/RETR0-OS/ModelForge/tree/main/docs/installation/windows.md#option-2-wsl-installation-recommended)
-2. **Option 2: Docker** - [Docker Installation Guide](https://github.com/RETR0-OS/ModelForge/tree/main/docs/installation/windows.md#option-3-docker-installation)
+1. **Option 1: WSL (Recommended)** - [WSL Installation Guide](https://github.com/ForgeOpus/ModelForge/tree/main/docs/installation/windows.md#option-2-wsl-installation-recommended)
+2. **Option 2: Docker** - [Docker Installation Guide](https://github.com/ForgeOpus/ModelForge/tree/main/docs/installation/windows.md#option-3-docker-installation)
 
 The HuggingFace provider works perfectly on native Windows.
 
@@ -170,7 +170,7 @@ When using Unsloth provider, you **MUST** specify a fixed `max_sequence_length`:
 
 Auto-inference (`max_seq_length: -1`) is **NOT supported** with Unsloth.
 
-**[Learn more about Unsloth →](https://github.com/RETR0-OS/ModelForge/tree/main/docs/providers/unsloth.md)**
+**[Learn more about Unsloth →](https://github.com/ForgeOpus/ModelForge/tree/main/docs/providers/unsloth.md)**
 
 ## 📂 Dataset Format
 
@@ -192,7 +192,7 @@ ModelForge uses JSONL format. Each task has specific fields:
 {"context": "Document text...", "question": "What is X?", "answer": "X is..."}
 ```
 
-**[Complete Dataset Format Guide →](https://github.com/RETR0-OS/ModelForge/tree/main/docs/configuration/dataset-formats.md)**
+**[Complete Dataset Format Guide →](https://github.com/ForgeOpus/ModelForge/tree/main/docs/configuration/dataset-formats.md)**
 
 ## 🤝 Contributing
 
@@ -204,11 +204,11 @@ We welcome contributions! ModelForge v2.0's modular architecture makes it easy t
 - **Improve documentation**
 - **Fix bugs and add features**
 
-**[Contributing Guide →](https://github.com/RETR0-OS/ModelForge/tree/main/docs/contributing/contributing.md)**
+**[Contributing Guide →](https://github.com/ForgeOpus/ModelForge/tree/main/docs/contributing/contributing.md)**
 
 ### Adding Model Recommendations
 
-ModelForge uses modular configuration files for model recommendations. See the **[Model Configuration Guide](https://github.com/RETR0-OS/ModelForge/tree/main/docs/contributing/model-configs.md)** for instructions on adding new recommended models.
+ModelForge uses modular configuration files for model recommendations. See the **[Model Configuration Guide](https://github.com/ForgeOpus/ModelForge/tree/main/docs/contributing/model-configs.md)** for instructions on adding new recommended models.
 
 ## 🛠 Tech Stack
 
@@ -232,13 +232,13 @@ MIT License - see [LICENSE](LICENSE) file for details.
 
 ## 📧 Support
 
-- **Documentation**: [https://github.com/RETR0-OS/ModelForge/tree/main/docs/](https://github.com/RETR0-OS/ModelForge/tree/main/docs/)
-- **Issues**: [GitHub Issues](https://github.com/RETR0-OS/ModelForge/issues)
-- **Discussions**: [GitHub Discussions](https://github.com/RETR0-OS/ModelForge/discussions)
+- **Documentation**: [https://github.com/ForgeOpus/ModelForge/tree/main/docs/](https://github.com/ForgeOpus/ModelForge/tree/main/docs/)
+- **Issues**: [GitHub Issues](https://github.com/ForgeOpus/ModelForge/issues)
+- **Discussions**: [GitHub Discussions](https://github.com/ForgeOpus/ModelForge/discussions)
 - **PyPI**: [modelforge-finetuning](https://pypi.org/project/modelforge-finetuning/)
 
 ---
 
 **ModelForge v2.0 - Making LLM fine-tuning accessible to everyone** 🚀
 
-**[Get Started →](https://github.com/RETR0-OS/ModelForge/tree/main/docs/getting-started/quickstart.md)** | **[Documentation →](https://github.com/RETR0-OS/ModelForge/tree/main/docs/)** | **[GitHub →](https://github.com/RETR0-OS/ModelForge)**
+**[Get Started →](https://github.com/ForgeOpus/ModelForge/tree/main/docs/getting-started/quickstart.md)** | **[Documentation →](https://github.com/ForgeOpus/ModelForge/tree/main/docs/)** | **[GitHub →](https://github.com/ForgeOpus/ModelForge)**

docs/README.md

@@ -62,17 +62,17 @@ Welcome to the comprehensive documentation for **ModelForge v2.0** - A no-code t
 
 ## 📖 External Resources
 
-- [GitHub Repository](https://github.com/RETR0-OS/ModelForge)
+- [GitHub Repository](https://github.com/ForgeOpus/ModelForge)
 - [PyPI Package](https://pypi.org/project/modelforge-finetuning/)
-- [Issue Tracker](https://github.com/RETR0-OS/ModelForge/issues)
-- [Discussions](https://github.com/RETR0-OS/ModelForge/discussions)
+- [Issue Tracker](https://github.com/ForgeOpus/ModelForge/issues)
+- [Discussions](https://github.com/ForgeOpus/ModelForge/discussions)
 
 ## 💡 Need Help?
 
 - Check the [FAQ](troubleshooting/faq.md) for quick answers
-- Search [existing issues](https://github.com/RETR0-OS/ModelForge/issues) on GitHub
-- Ask a question in [Discussions](https://github.com/RETR0-OS/ModelForge/discussions)
-- Report bugs via [GitHub Issues](https://github.com/RETR0-OS/ModelForge/issues/new)
+- Search [existing issues](https://github.com/ForgeOpus/ModelForge/issues) on GitHub
+- Ask a question in [Discussions](https://github.com/ForgeOpus/ModelForge/discussions)
+- Report bugs via [GitHub Issues](https://github.com/ForgeOpus/ModelForge/issues/new)
 
 ---
 

docs/contributing/contributing.md

@@ -356,7 +356,7 @@ Contributors are recognized in:
 ## Questions?
 
 - Check [FAQ](../troubleshooting/faq.md)
-- Ask in [GitHub Discussions](https://github.com/RETR0-OS/ModelForge/discussions)
+- Ask in [GitHub Discussions](https://github.com/ForgeOpus/ModelForge/discussions)
 - Read [Architecture Guide](architecture.md)
 
 ---

docs/contributing/development.md

@@ -36,7 +36,7 @@ git clone https://github.com/YOUR-USERNAME/ModelForge.git
 cd ModelForge
 
 # Add upstream remote
-git remote add upstream https://github.com/RETR0-OS/ModelForge.git
+git remote add upstream https://github.com/ForgeOpus/ModelForge.git
 ```
 
 ### 2. Create Virtual Environment

docs/contributing/model-configs.md

@@ -415,7 +415,7 @@ Check:
 ## Questions?
 
 - See [Contributing Guide](contributing.md)
-- Ask in [GitHub Discussions](https://github.com/RETR0-OS/ModelForge/discussions)
+- Ask in [GitHub Discussions](https://github.com/ForgeOpus/ModelForge/discussions)
 - Check [FAQ](../troubleshooting/faq.md)
 
 ---

docs/getting-started/quickstart.md

@@ -150,7 +150,7 @@ Your previous models and settings are preserved!
 
 - Check the [FAQ](../troubleshooting/faq.md) for common questions
 - See [Troubleshooting](../troubleshooting/common-issues.md) for common issues
-- Ask in [GitHub Discussions](https://github.com/RETR0-OS/ModelForge/discussions)
+- Ask in [GitHub Discussions](https://github.com/ForgeOpus/ModelForge/discussions)
 
 ---
 

docs/installation/linux.md

@@ -417,4 +417,4 @@ docker run --gpus all -p 8000:8000 \
 
 ---
 
-**Need Help?** Check [Common Issues](../troubleshooting/common-issues.md) or ask in [GitHub Discussions](https://github.com/RETR0-OS/ModelForge/discussions).
+**Need Help?** Check [Common Issues](../troubleshooting/common-issues.md) or ask in [GitHub Discussions](https://github.com/ForgeOpus/ModelForge/discussions).

docs/troubleshooting/common-issues.md

@@ -177,9 +177,9 @@ pip install unsloth
 
 - [Windows-Specific Issues](windows-issues.md)
 - [FAQ](faq.md)
-- [GitHub Issues](https://github.com/RETR0-OS/ModelForge/issues)
-- [GitHub Discussions](https://github.com/RETR0-OS/ModelForge/discussions)
+- [GitHub Issues](https://github.com/ForgeOpus/ModelForge/issues)
+- [GitHub Discussions](https://github.com/ForgeOpus/ModelForge/discussions)
 
 ---
 
-**Still having issues?** Create an issue on [GitHub](https://github.com/RETR0-OS/ModelForge/issues/new).
+**Still having issues?** Create an issue on [GitHub](https://github.com/ForgeOpus/ModelForge/issues/new).