WizardLM-30B

WizardLM is a suite of large pre-trained language models designed to follow complex instructions across various domains, including general language understanding, coding, and mathematical problem-solving. These models are built to enhance the capabilities of large language models (LLMs) in generating high-quality outputs for specific tasks.

Key features:
- WizardLM Models: Large-scale models for general language understanding and instruction following, with variants ranging from 13 billion to 70 billion parameters.
- WizardCoder Models: Specialized models for coding tasks, outperforming several leading AI models on coding benchmarks.
- WizardMath Models: Advanced models focused on mathematical problem-solving, excelling in complex mathematical tasks.
- Multi-turn Conversation Support: Designed to handle context-aware responses in ongoing dialogues.
- Benchmark Performance: Achieves high scores on various industry-standard benchmarks for language understanding, coding, and mathematics.

How it works:
1. Users input text-based prompts or questions to the appropriate WizardLM model.
2. The model processes the input using its pre-trained knowledge and instruction-following capabilities.
3. The model generates a response or solution based on the input, which can include code, mathematical solutions, or general text.
4. For multi-turn conversations, the model maintains context to provide coherent follow-up responses.

Integrations:
Hugging Face, GitHub, Discord

Use of AI:
WizardLM models use advanced natural language processing techniques to understand and generate human-like text, code, and mathematical solutions. They are designed to follow complex instructions and can be applied to a wide range of tasks within their respective domains.

AI foundation model:
WizardLM models are built upon the Llama 2 architecture, a state-of-the-art foundation model known for its efficiency and performance in various NLP tasks. The models are fine-tuned to enhance their instruction-following capabilities and domain-specific performance.

Target users:
- Developers integrating advanced language processing into applications
- Researchers exploring NLP and AI advancements
- Educators and students leveraging AI for coding and mathematical problem-solving

How to access:
WizardLM models are available as APIs, SDKs, and can be deployed via web apps. They can be accessed through platforms like Hugging Face and GitHub. Different models are subject to specific licenses, including OpenRAIL-M and Llama 2 License, depending on the model and intended use.

Open source status:
The WizardLM models are open-source, with weights and code publicly available. However, the training data is subject to stricter auditing and legal review, and is not released without authorization.