Model Overview

This model, whatdhack/Llama-2-7b-chat-hf-oasst1-ft-sg, is a specialized fine-tuned version of the Meta Llama-2-7b-chat-hf base model. It leverages the robust architecture of Llama 2, a 7 billion parameter language model, and has undergone further training on the timdettmers/openassistant-guanaco dataset.

Key Characteristics

• Base Model: Meta Llama-2-7b-chat-hf
• Fine-tuning Dataset: timdettmers/openassistant-guanaco
• Training Framework: Utilized Transformers 4.34.0, Pytorch 2.0.1+cu118, Datasets 2.14.5, and Tokenizers 0.14.1.

Intended Use Cases

Given its fine-tuning on a conversational dataset, this model is primarily suited for applications requiring:

• Conversational AI: Engaging in dialogue and generating human-like responses.
• Chatbot Development: Powering interactive agents for customer support, information retrieval, or general conversation.
• Instruction Following: Responding to user prompts and instructions in a chat-like format.