metadata

base_model:
  - wzhouad/gemma-2-9b-it-WPO-HB
  - google/gemma-2-9b-it
  - princeton-nlp/gemma-2-9b-it-SimPO
library_name: transformers
tags:
  - mergekit
  - merge

Gemma Advanced V1 (obsolete)

Note: A much-improved version is available at jsgreenawalt/gemma-2-9B-it-advanced-v2.1

Experimental merge #1, attempting to combine some of the advanced Gemma fine-tunes

Quants are available here: https://huggingface.co/QuantFactory/gemma-advanced-v1-GGUF

Notes and observations:

Recommended temperature 0.15 or lower , the model is more temperature sensitive than the parent models
Recommended Q8_0 quant, Q6* and lower quants lose more than quality than expected
The model writes coherently (at lower temperatures) and has a different writing style than the parent models

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

Merge Details

Merge Method

This model was merged using the della merge method using google/google-gemma-2-9b-it as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: google/gemma-2-9b-it 
    # no parameters necessary for base model
  - model: princeton-nlp/gemma-2-9b-it-SimPO 
    parameters:
      density: 0.5
      weight: 0.5
  - model: wzhouad/gemma-2-9b-it-WPO-HB
    parameters:
      density: 0.5
      weight: 0.5
merge_method: della
base_model: google/gemma-2-9b-it
parameters:
  normalize: true
dtype: float16