OpenROAD-8B-Instruct Model Card

Model Details

• Model Name: OpenROAD-8B-Instruct
• Release Date: July 2024
• Model Type: Large Language Model (LLM)
• Model Architecture: Based on the Llama 3 8B Instruct architecture

Model Variants

1. Full Precision Model: OpenROAD-8B-Instruct.gguf
2. Quantized Model: OpenROAD-8B-Instruct.Q4_K_M.gguf

Model Description

OpenROAD-8B-Instruct is a large language model fine-tuned from the Llama 3 8B Instruct base model. It is specifically designed to assist with tasks related to the OpenROAD programming language and application development tool. This model aims to provide support for developers working with OpenROAD's database-centric, object-oriented, 4GL application development environment.

Intended Use

• Assisting developers in building applications using OpenROAD
• Answering queries related to OpenROAD's object-oriented programming features and 4GL language
• Offering code suggestions and explanations for OpenROAD scripts and configurations

Key Features Covered

The model is knowledgeable about OpenROAD's key features, including:

• Object-oriented programming (OOP) with 4GL language

Training Data

The model was trained using a combination of:

1. Synthetic data generated from human-curated examples related to OpenROAD development
2. Documentation and guides for OpenROAD components

Performance and Limitations

• The model's knowledge is limited to the training data available up to July 2024
• Performance may vary depending on the complexity and specificity of OpenROAD-related queries
• As with all language models, outputs should be verified by domain experts before use in critical applications

Ethical Considerations

• The model should not be used as a sole decision-maker for critical application development processes
• Users should be aware of potential biases in the model's outputs and cross-verify information with authoritative sources
• The model's responses should be treated as suggestions rather than definitive answers in complex OpenROAD development scenarios

Technical Specifications

• Model Architecture: Based on Llama 3 8B Instruct
• Parameters: 8 billion
• Training Framework: InstructLab

Quantized Model Details

• Quantized Version: OpenROAD-8B-Instruct.Q4_K_M.gguf
• Quantisation Method: 4-bit quantisation with medium compression (Q4_K_M)
• File Format: GGUF (GPT-Generated Unified Format)

Version History

• v0.1 (July 2024): Initial release of OpenROAD-8B-Instruct and its quantised version

Acknowledgements

This model is based on the Llama 3 8B Instruct model developed by Meta AI. It has been further trained and adapted using the InstructLab framework to specialise in OpenROAD application development.