Overview

Chimera-Apex-7B is an experimental 7 billion parameter large language model developed by bunnycore through the merging of multiple high-performance models. Utilizing mergekit, this model combines Azazelle/Half-NSFW_Noromaid-7b, Endevor/InfinityRP-v1-7B, and FuseAI/FuseChat-7B-VaRM, built upon the cognitivecomputations/dolphin-2.0-mistral-7b base. This unique approach aims to create a versatile, general-purpose LLM capable of handling diverse tasks.

Key Capabilities

• General-Purpose Task Handling: Designed to perform across a broad spectrum of applications.
• Conversation: Proficient in engaging in natural language dialogues.
• Question Answering: Capable of providing responses to various queries.
• Code Generation: Supports the creation of programming code.
• Experimental Content Generation: Intended to explore capabilities including NSFW content generation.

Limitations

As an experimental merge, Chimera-Apex-7B may exhibit:

• Inconsistent Accuracy: Outputs might not always be perfect or entirely accurate.
• Potential Biases: Inherited biases from the training data of its constituent models.

Good For

• Developers and researchers interested in exploring the capabilities of merged models.
• Applications requiring a versatile model for conversation, Q&A, and code generation.
• Use cases that might involve the generation of NSFW content, given its experimental design.