jhlee123/llama-2-13B-chat-hf-finetune-klaid
The jhlee123/llama-2-13B-chat-hf-finetune-klaid model is a 13 billion parameter language model based on the Llama 2 architecture, fine-tuned for chat applications. It leverages PEFT 0.5.0.dev0 for efficient fine-tuning and has a context length of 4096 tokens. This model is designed for conversational AI tasks, offering enhanced performance in interactive dialogue scenarios.
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Model Overview
The jhlee123/llama-2-13B-chat-hf-finetune-klaid is a 13 billion parameter language model built upon the Llama 2 architecture. It has been specifically fine-tuned for chat-based applications, making it suitable for conversational AI tasks. The model utilizes a context length of 4096 tokens, allowing it to process and generate longer sequences of text within a single interaction.
Key Characteristics
- Architecture: Llama 2 base model.
- Parameter Count: 13 billion parameters.
- Context Length: Supports a context window of 4096 tokens.
- Fine-tuning: Optimized for chat using PEFT 0.5.0.dev0, indicating an efficient fine-tuning approach.
Intended Use Cases
This model is primarily designed for:
- Conversational AI: Engaging in multi-turn dialogues and interactive chat applications.
- Dialogue Systems: Powering chatbots and virtual assistants.
- Text Generation: Creating coherent and contextually relevant responses in conversational settings.