h2oai/h2ogpt-4096-llama2-7b-chat
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Aug 9, 2023License:llama2Architecture:Transformer0.0K Open Weights Warm
h2oai/h2ogpt-4096-llama2-7b-chat is a 7 billion parameter language model developed by H2O.ai, serving as a clone of Meta's Llama 2 7B Chat. This model is built upon the Llama architecture and features a 4096-token context window. It is designed for general-purpose conversational AI applications, leveraging the established capabilities of the Llama 2 base model.
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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.