Model Overview
This model, Neelectric/Llama-3.1-8B-Instruct_SFT_Chat-220kv00.05, is an 8 billion parameter instruction-tuned variant of Meta's Llama-3.1-8B-Instruct. It has been fine-tuned using Supervised Fine-Tuning (SFT) on the Neelectric/Dolci-Think-SFT-7B_persona-if_Llama3_4096toks dataset.
Key Capabilities
- Enhanced Instruction Following: Specialized SFT training improves the model's ability to understand and execute user instructions.
- Conversational Proficiency: Optimized for chat-based interactions, making it suitable for dialogue systems.
- Llama 3.1 Base: Benefits from the strong foundational capabilities of the Llama 3.1 architecture.
Training Details
The model was trained using the TRL library, with specific framework versions including TRL 0.28.0.dev0, Transformers 4.57.6, Pytorch 2.9.0, Datasets 4.5.0, and Tokenizers 0.22.2. The training process focused on SFT to adapt the base model for more effective chat and instruction-based applications.
Good For
- Chatbots and Conversational AI: Its fine-tuning for chat makes it a strong candidate for building interactive agents.
- Instruction-based Tasks: Excels in scenarios where precise adherence to user prompts and instructions is critical.
- Research and Development: Provides a robust base for further experimentation and fine-tuning on specific conversational datasets.