Tulu-30B

Tulu 30B is a large language model that has been fine-tuned on a diverse set of instruction datasets, enabling it to understand and follow complex instructions while generating coherent and contextually appropriate responses.

Key features:
- Fine-tuned on instruction datasets including FLAN V2, CoT, Dolly, Open Assistant 1, GPT4-Alpaca, Code-Alpaca, and ShareGPT
- 30 billion parameters allow for understanding and generating detailed, contextually rich text
- Capable of generating both natural language text and code snippets

How it works:
To use Tulu 30B, users must have access to a LLaMa model in Hugging Face format. The steps include:
1. Obtain access to a LLaMa model and convert it to the required format as detailed on the Hugging Face documentation.
2. Clone the repository from https://github.com/allenai/open-instruct and install the necessary dependencies.
3. Follow the usage instructions provided in the repository, which include scripts and minimal requirements for running the model.

Integrations:
- Hugging Face Transformers library, allowing for integration into existing NLP pipelines
- Custom applications using the provided scripts and APIs

Use of AI:
Tulu 30B uses generative artificial intelligence to perform tasks such as:
- Text generation based on given prompts
- Code generation and assistance in programming tasks
- Accurately following complex instructions to generate desired outputs

AI foundation model:
Tulu 30B is built on the LLaMa architecture and fine-tuned using a mixture of instruction datasets.

How to access:
- Available as a model on the Hugging Face platform, accessible via API or integrated into applications using the Hugging Face Transformers library
- Suitable for researchers, developers, and organizations looking to leverage advanced NLP capabilities
- The model was made available on May 14, 2024
- The codebase used to train and evaluate Tulu 30B is open-source and available at https://github.com/allenai/open-instruct