Model Overview
The shashankyadav03/Llama-3-8B-Instruct-Finance-Asset-Strategy is an 8 billion parameter instruction-tuned model from the Llama 3.1 family, developed by Shashank. Released on August 10, 2024, this model is built upon an optimized transformer architecture and has been fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to enhance its alignment with human preferences, particularly for dialogue.
Key Capabilities and Features
- Multilingual Support: Designed for multilingual dialogue, supporting English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
- Optimized for Finance: The model's name suggests a specialization in finance asset strategy, making it suitable for expert financial advice applications.
- Strong Benchmark Performance: The 8B Instruct version achieves competitive scores, including 69.4 on MMLU (5-shot), 72.6 on HumanEval (pass@1), and 83.4 on ARC-Challenge.
- Tool Use Integration: Supports tool use formats through chat templates within the Transformers library, allowing for custom tool integration.
- Extensive Training: Trained on approximately 15 trillion tokens from publicly available data, with fine-tuning on over 25 million synthetic examples.
Ideal Use Cases
This model is well-suited for commercial and research applications requiring:
- Multilingual Chatbots: Particularly for financial advisory services across supported languages.
- Natural Language Generation: Generating human-like text for various NLP tasks.
- Synthetic Data Generation: Can be used to create synthetic data to improve other models.
- Assistant-like Interfaces: Building conversational AI assistants, especially in the finance domain.