> For the complete documentation index, see [llms.txt](https://openledger.gitbook.io/openledger/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://openledger.gitbook.io/openledger/model-factory/key-features.md).

# Key Features

#### User-Friendly Interface

* Fully GUI-based; eliminates the need for CLI or API interactions.
* Simple workflows for non-technical users.

#### Secure Dataset Management

* Permission-based dataset access ensures data security.
* Seamless integration with OpenLedger’s dataset repository.

####  Comprehensive Model Support

* Compatible with a broad range of LLMs.
* Optimized for various fine-tuning techniques (LoRA, QLoRA, full fine-tuning).

#### Live Training Analytics

* Interactive dashboards for monitoring training metrics.

#### Chat Interface for Fine-Tuned Models

* Direct interaction with models for testing or deployment scenarios.
* Real-time response capabilities for various tasks.

#### RAG Attribution for Source Transparency

* Combines retrieval-based methods with generated outputs.
* Displays sources for user queries to ensure transparency and accountability.

#### Scalable & Modular Architecture

* Extensible modules for dataset access, training, and evaluation.