kingbri/airolima-l2-13b-gpt4-2.0

TEXT GENERATIONConcurrency Cost:1Model Size:13BQuant:FP8Ctx Length:4kArchitecture:Transformer Cold

The kingbri/airolima-l2-13b-gpt4-2.0 is a 13 billion parameter language model, merging the Airoboros L2 13B GPT4 2.0 model with the LimaRP Llama 2 LoRA. This model is specifically designed to combine Airoboros's strong reasoning capabilities with LimaRP's nuanced character roleplay abilities. It aims to provide a balanced performance for tasks requiring both logical understanding and expressive, personality-driven interactions, with a context length of 4096 tokens.

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Model Overview

The kingbri/airolima-l2-13b-gpt4-2.0 is a 13 billion parameter model created by kingbri through a strategic merge of two distinct models: Airoboros l2 13b gpt4 2.0 and LimaRP llama 2 Lora. The merge was executed using the ez-trainer tool by CoffeeVampire/Blackroot.

Key Capabilities & Differentiators

  • Hybrid Performance: This model is engineered to integrate the robust reasoning skills of Airoboros with the advanced character roleplay capabilities of LimaRP. This makes it suitable for applications requiring both logical coherence and expressive, personality-rich interactions.
  • Optimized Roleplay Nuance: The LimaRP LoRA was merged at a specific weight of 0.60. This precise weighting was determined to be optimal for preserving the nuances of a character's personality, avoiding both over-dominance and under-representation of the roleplay characteristics.
  • Instruction Format Flexibility: The model supports instruction formats from both Airoboros and LimaRP, allowing users to choose the most appropriate prompt structure for their specific use case.

Intended Use Cases

This model is particularly well-suited for:

  • Character Roleplaying: Excelling in scenarios where detailed character personalities and expressive dialogue are crucial.
  • Reasoning-based Interactions: Leveraging Airoboros's foundation for tasks that require logical understanding and coherent responses.

Limitations

It is important to note that this model may exhibit biases similar to those found in niche online roleplaying communities. It is not intended for providing factual information or professional advice.