YaTharThShaRma999/Llama2-chat-kimiko-Sharded-2gb

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kLicense:otherArchitecture:Transformer0.0K Cold

YaTharThShaRma999/Llama2-chat-kimiko-Sharded-2gb is a 7 billion parameter Llama-2-chat based model, developed by YaTharThShaRma999, that integrates the Kimiko LoRA. This model functions as an uncensored version of Llama-2-chat, maintaining the original architecture. It is primarily designed for conversational AI where a less restricted response style is desired, utilizing a specific prompt template for character-based interactions.

Loading preview...

Model Overview

YaTharThShaRma999/Llama2-chat-kimiko-Sharded-2gb is a 7 billion parameter language model built upon the Llama-2-chat architecture. This model distinguishes itself by merging the Kimiko LoRA with Llama-2-chat 7B, rather than the base Llama-2 model, resulting in an uncensored conversational agent. It maintains the core Llama-2 architecture, ensuring compatibility with existing Llama documentation and tools.

Key Capabilities

  • Uncensored Responses: Offers a less restricted conversational experience compared to standard Llama-2-chat models.
  • Character-Based Interactions: Optimized for scenarios where the system prompt describes a character's persona, rather than instructing the AI to "act like" a character.
  • Llama-2 Compatibility: Shares the same architecture as Llama-2, allowing for straightforward integration with Hugging Face tools and workflows.

Prompting Guidance

The model utilizes a specific prompt template for optimal performance, emphasizing direct character descriptions in the system prompt. An example template is provided:

<<SYSTEM>>
##system prompt for the ai(where you would put personas as well)

<<HUMAN>>
##Chat with the bot

<<Character Name>>

Good For

  • Applications requiring an uncensored or less filtered conversational AI.
  • Developing interactive character-driven narratives or role-playing scenarios.
  • Users familiar with Llama-2's architecture and ecosystem seeking a specialized variant.