Hugging Face Overview
MaziyarPanahi/calme-2.3-llama3.1-70b is a 70 billion parameter language model, fine-tuned by MaziyarPanahi from the meta-llama/Meta-Llama-3.1-70B-Instruct base. The primary goal of this fine-tuning was to enhance its capabilities in natural language understanding and generation, making it a versatile and robust model for diverse applications. It supports a substantial context length of 32768 tokens and utilizes the ChatML prompt template.
Key Capabilities
- Advanced Question-Answering: Designed to provide precise and comprehensive answers.
- Intelligent Chatbots and Virtual Assistants: Capable of engaging in sophisticated conversational interactions.
- Content Generation and Summarization: Efficiently creates and condenses textual content.
- Code Generation and Analysis: Supports the creation and examination of programming code.
- Complex Problem-Solving: Aids in decision support and tackling intricate problems.
Performance
Evaluated on the Open LLM Leaderboard, the model achieves an average score of 40.30. Notable benchmark results include 86.05 on IFEval (0-Shot), 55.59 on BBH (3-Shot), and 48.48 on MMLU-PRO (5-shot), indicating strong performance across various reasoning and knowledge-based tasks.
Ethical Considerations
Users are advised to be aware of potential biases and limitations inherent in large language models. The developer recommends implementing appropriate safeguards and human oversight when deploying this model in production environments.