patricide-12B-Unslop-Mell

patricide-12B-Unslop-Mell

redrix

A 12B parameter merged LLM combining UnslopNemo and Mag-Mell models using SLERP method. Optimized for coherent outputs with ChatML template support and various GGUF quantizations available.

PropertyValue
Parameter Count12B
Model TypeMerged Language Model
ArchitectureSLERP Merge
QuantizationGGUF Available
Authorredrix

What is patricide-12B-Unslop-Mell?

patricide-12B-Unslop-Mell is a merged language model created using mergekit, combining TheDrummer/UnslopNemo-12B-v4.1 and inflatebot/MN-12B-Mag-Mell-R1. The model utilizes the SLERP merge method and is designed to inherit beneficial traits from both parent models while maintaining coherent outputs.

Implementation Details

The model was implemented using a bfloat16 dtype and employs a specific SLERP configuration with parameters t=[0, 0.5, 1, 0.5, 0]. It supports the ChatML template and offers multiple quantization options through GGUF, including static and weighted/Imatrix variants.

  • Supports Q6_K GGUF Quantization
  • Implements ChatML Template
  • Uses SLERP merge methodology
  • Available in multiple quantization formats

Core Capabilities

  • Stable and coherent text generation
  • Story writing and RP potential
  • Performs well with Temperature 1 and Min-P of 0.1
  • Multiple template support including ChatML

Frequently Asked Questions

Q: What makes this model unique?

The model combines the strengths of two established models using SLERP methodology, offering a balance between coherence and creativity. It provides stable outputs even in base configurations and supports various quantization options for different deployment needs.

Q: What are the recommended use cases?

The model is suitable for general text generation, with particular potential in story writing and role-playing applications. It performs well with standard temperature and Min-P settings, making it accessible for various use cases without extensive parameter tuning.

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