YaTharThShaRma999/LLama2KimikoChat
YaTharThShaRma999/LLama2KimikoChat is a 7 billion parameter language model based on the Llama 2 Chat architecture, specifically a merge of the Kimiko LoRA adapter with the Llama 2 Chat model. This model leverages a 4096-token context length. It is designed for conversational AI applications, integrating the specialized characteristics of the Kimiko adapter into a robust chat-optimized Llama 2 foundation.
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Overview
YaTharThShaRma999/LLama2KimikoChat is a 7 billion parameter language model built upon the Llama 2 Chat architecture. This model represents a unique integration, specifically merging the Kimiko LoRA (Low-Rank Adaptation) adapter directly into the Llama 2 Chat model, rather than the base Llama model. This approach aims to combine the conversational strengths of Llama 2 Chat with the specialized characteristics introduced by the Kimiko adapter.
Key Capabilities
- Conversational AI: Optimized for chat-based interactions due to its Llama 2 Chat foundation.
- Specialized Characteristics: Incorporates the unique features and fine-tuning provided by the Kimiko LoRA adapter.
- Context Handling: Supports a context window of 4096 tokens, allowing for moderately long conversations.
Good For
- Developers seeking a Llama 2 Chat variant with specific behavioral or stylistic modifications from the Kimiko adapter.
- Applications requiring a 7B parameter model for interactive dialogue systems.
- Experimentation with merged LoRA adapters on established chat models.