Update README.md

README.md

@@ -29,35 +29,6 @@ creation of synthetic datasets.
 - **Taxonomy Repository**: A structured repository where users can
 submit and manage their contributions of skills and knowledge.
 
-**Core Components**:
-1. **ilab CLI Tool**: Facilitates model interaction, training, and
-data generation.
-2. **Taxonomy Tree**: Organizes skills and knowledge contributions for
-model tuning.
-3. **Community Collaboration**: Encourages open-source contributions,
-including new features, bug fixes, and documentation improvements.
-
-**Granite and Merlinite Models**:
-- **Merlinite**: Merlinite is instruct-tuned from the Mistral model,
-providing overall better accuracy than Mistral. It is continuously
-improved using user-submitted data from the taxonomy repository,
-incorporating both skills and knowledge.
-
-
-- **Granite**: [Granite](https://huggingface.co/ibm-granite/granite-7b-base)
-is a base model developed from scratch by IBM Research, trained on 2 trillion 
-tokens. The datasets the model was trained on are openly cited in [its
-HuggingFace model card](https://huggingface.co/ibm-granite/granite-7b-base).
-
-**Installation and Usage**:
-- [Detailed instructions are available for setting up the `ilab` CLI
-tool](https://github.com/instructlab/instructlab) on various operating systems. Key steps include installing
-necessary dependencies, creating a virtual environment, and
-initializing the `ilab` tool.
-- The CLI supports commands for chatting with models, generating
-synthetic data, downloading pre-trained models, and training models
-with user-generated data.
-
 **Community and Contribution**:
 - InstructLab welcomes contributions from the open-source community.
 Users can submit pull requests to the taxonomy repository, participate
@@ -65,13 +36,6 @@ in discussions, and contribute to ongoing development.
 - The project maintains [a comprehensive guide for contributors](https://github.com/instructlab/community),
 outlining best practices and governance.
 
-**Getting Started**:
-1. **Install ilab CLI**: Follow the installation instructions specific
-to your operating system.
-2. **Initialize ilab**: Set up the local environment and clone the
-taxonomy repository.
-3. **Contribute**: Create and submit new skills and knowledge to improve LLMs.
-
 **Repository Links**:
 - [InstructLab Main Repository](https://github.com/instructlab/instructlab)
 - [Taxonomy Repository](https://github.com/instructlab/taxonomy)