README.md

metadata

base_model:
  - Sao10K/L3-8B-Lunaris-v1
  - kromeurus/L3.1-Clouded-Uchtave-v0.1-8B
  - kromeurus/L3.1-Aglow-Vulca-v0.1-8B
library_name: transformers
tags:
  - mergekit
  - merge

VERY IMPORTANT:

This model has not been tested or evaluated, and its performance, characteristics, and operational status are currently unknown. Feedback is appreciated.

AI is a powerful tool, that being said, it may sometimes generate harmful, biased, untrue, or inappropriate content, and this model is no different. Please exercise caution and use it at your own risk, just like you would a drill, or a hammer, or any other tool.

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using Sao10K/L3-8B-Lunaris-v1 as a base.

Models Merged

The following models were included in the merge:

• kromeurus/L3.1-Clouded-Uchtave-v0.1-8B
• kromeurus/L3.1-Aglow-Vulca-v0.1-8B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Sao10K/L3-8B-Lunaris-v1
  - model: kromeurus/L3.1-Clouded-Uchtave-v0.1-8B
    parameters:
      density: [0.35, 0.45, 0.5, 0.55, 0.65, 0.55, 0.5, 0.45, 0.35]
      weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
  - model: kromeurus/L3.1-Aglow-Vulca-v0.1-8B
    parameters:
      density: [0.65, 0.55, 0.5, 0.45, 0.35, 0.45, 0.5, 0.55, 0.65]
      weight: [0.165, 0.495, 0.495, 0.165, 0.165, 0.495, 0.495, 0.165]
merge_method: dare_ties
base_model: Sao10K/L3-8B-Lunaris-v1
parameters:
  normalize: false
  int8_mask: true
dtype: float32
out_dtype: bfloat16