README.md

metadata

base_model:
  - brianmatzelle/llama3.1-8b-instruct-political-subreddits
  - EryriLabs/DeepSeek-R1-Distill-Llama-UK-Legislation-8B
  - chaphi/SAXON-0
library_name: transformers
tags:
  - mergekit
  - merge

SAXON 0 I

This is an iteration of the SAXON 0 model, I am attempting to minimise the amount of finetuning I need to do by using mergekit to let SAXON 0 absorb models trained on Politics and specifically UK Laws etc, since I want the model to be good a those.

Merge Details

Merge Method

This model was merged using the TIES merge method using chaphi/SAXON-0 as a base.

Models Merged

The following models were included in the merge:

• Llama 3.1 Politics (Dataset scraped from Reddit)
• Deepkseek R1 Llama Distill UK Legislation Expert

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: chaphi/SAXON-0
    #no parameters necessary for base model
  - model: EryriLabs/DeepSeek-R1-Distill-Llama-UK-Legislation-8B
    parameters:
      density: 0.5
      weight: 0.5
  - model: brianmatzelle/llama3.1-8b-instruct-political-subreddits
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chaphi/SAXON-0
parameters:
  normalize: false
  int8_mask: true
dtype: float16