Quantization made by Richard Erkhov.

Gemma-2-gemmama-9b - GGUF

Model creator: https://huggingface.co/djuna/
Original model: https://huggingface.co/djuna/Gemma-2-gemmama-9b/

Name	Quant method	Size
Gemma-2-gemmama-9b.Q2_K.gguf	Q2_K	3.54GB
Gemma-2-gemmama-9b.IQ3_XS.gguf	IQ3_XS	3.86GB
Gemma-2-gemmama-9b.IQ3_S.gguf	IQ3_S	4.04GB
Gemma-2-gemmama-9b.Q3_K_S.gguf	Q3_K_S	4.04GB
Gemma-2-gemmama-9b.IQ3_M.gguf	IQ3_M	4.19GB
Gemma-2-gemmama-9b.Q3_K.gguf	Q3_K	4.43GB
Gemma-2-gemmama-9b.Q3_K_M.gguf	Q3_K_M	4.43GB
Gemma-2-gemmama-9b.Q3_K_L.gguf	Q3_K_L	4.78GB
Gemma-2-gemmama-9b.IQ4_XS.gguf	IQ4_XS	4.86GB
Gemma-2-gemmama-9b.Q4_0.gguf	Q4_0	5.07GB
Gemma-2-gemmama-9b.IQ4_NL.gguf	IQ4_NL	5.1GB
Gemma-2-gemmama-9b.Q4_K_S.gguf	Q4_K_S	5.1GB
Gemma-2-gemmama-9b.Q4_K.gguf	Q4_K	5.37GB
Gemma-2-gemmama-9b.Q4_K_M.gguf	Q4_K_M	5.37GB
Gemma-2-gemmama-9b.Q4_1.gguf	Q4_1	5.55GB
Gemma-2-gemmama-9b.Q5_0.gguf	Q5_0	6.04GB
Gemma-2-gemmama-9b.Q5_K_S.gguf	Q5_K_S	6.04GB
Gemma-2-gemmama-9b.Q5_K.gguf	Q5_K	6.19GB
Gemma-2-gemmama-9b.Q5_K_M.gguf	Q5_K_M	6.19GB
Gemma-2-gemmama-9b.Q5_1.gguf	Q5_1	6.52GB
Gemma-2-gemmama-9b.Q6_K.gguf	Q6_K	7.07GB
Gemma-2-gemmama-9b.Q8_0.gguf	Q8_0	9.15GB

Original model description:

base_model:

IlyaGusev/gemma-2-9b-it-abliterated
crestf411/gemstone-9b
BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
lemon07r/Gemma-2-Ataraxy-9B library_name: transformers tags:
mergekit
merge

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 IlyaGusev/gemma-2-9b-it-abliterated 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: IlyaGusev/gemma-2-9b-it-abliterated
    #no parameters necessary for base model
  - model: BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
    parameters:
      density: 0.6
      weight: 0.25
  - model: lemon07r/Gemma-2-Ataraxy-9B
    parameters:
      density: 0.4
      weight: 0.3
  - model: crestf411/gemstone-9b
    parameters:
      density: 0.4
      weight: 0.2
merge_method: dare_ties
base_model: IlyaGusev/gemma-2-9b-it-abliterated
parameters:
  normalize: false
dtype: bfloat16