Hugging Face Overview
Model Overview
h2oai/h2ogpt-4096-llama2-7b-chat is a 7 billion parameter language model developed by H2O.ai, directly cloning Meta's Llama 2 7B Chat. This model utilizes the Llama architecture, featuring a 4096-token context length, making it suitable for processing moderately long conversational turns.
Key Characteristics
- Base Model: A direct clone of Meta's Llama 2 7B Chat, inheriting its conversational capabilities.
- Architecture: Built on the LlamaForCausalLM architecture, including standard components like LlamaAttention, LlamaMLP, and LlamaRMSNorm.
- Context Window: Supports a 4096-token context, allowing for more extensive dialogue history compared to models with shorter contexts.
Intended Use Cases
- General Conversational AI: Suitable for chatbots, virtual assistants, and interactive applications requiring natural language understanding and generation.
- Experimentation: Provides a readily available Llama 2 7B Chat variant for developers and researchers to experiment with within the h2oGPT ecosystem.
- Benchmarking: Can be used for comparative analysis against other large language models, particularly within the h2oGPT framework.