bunnycore_-_Gemma2-9B-TitanFusion-gguf

RichardErkhov/bunnycore_-_Gemma2-9B-TitanFusion-gguf

bunnycore_-_Gemma2-9B-TitanFusion-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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.gguf126 GB · 100%

At a glance

Access: Public
Created: Oct 12, 2024
Updated: Oct 12, 2024
SHA: 92d74f3c

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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Gemma2-9B-TitanFusion - GGUF

Model creator: https://huggingface.co/bunnycore/
Original model: https://huggingface.co/bunnycore/Gemma2-9B-TitanFusion/

Name	Quant method	Size
Gemma2-9B-TitanFusion.Q2_K.gguf	Q2_K	3.54GB
Gemma2-9B-TitanFusion.IQ3_XS.gguf	IQ3_XS	3.86GB
Gemma2-9B-TitanFusion.IQ3_S.gguf	IQ3_S	4.04GB
Gemma2-9B-TitanFusion.Q3_K_S.gguf	Q3_K_S	4.04GB
Gemma2-9B-TitanFusion.IQ3_M.gguf	IQ3_M	4.19GB
Gemma2-9B-TitanFusion.Q3_K.gguf	Q3_K	4.43GB
Gemma2-9B-TitanFusion.Q3_K_M.gguf	Q3_K_M	4.43GB
Gemma2-9B-TitanFusion.Q3_K_L.gguf	Q3_K_L	4.78GB
Gemma2-9B-TitanFusion.IQ4_XS.gguf	IQ4_XS	4.86GB
Gemma2-9B-TitanFusion.Q4_0.gguf	Q4_0	5.07GB
Gemma2-9B-TitanFusion.IQ4_NL.gguf	IQ4_NL	5.1GB
Gemma2-9B-TitanFusion.Q4_K_S.gguf	Q4_K_S	5.1GB
Gemma2-9B-TitanFusion.Q4_K.gguf	Q4_K	5.37GB
Gemma2-9B-TitanFusion.Q4_K_M.gguf	Q4_K_M	5.37GB
Gemma2-9B-TitanFusion.Q4_1.gguf	Q4_1	5.55GB
Gemma2-9B-TitanFusion.Q5_0.gguf	Q5_0	6.04GB
Gemma2-9B-TitanFusion.Q5_K_S.gguf	Q5_K_S	6.04GB
Gemma2-9B-TitanFusion.Q5_K.gguf	Q5_K	6.19GB
Gemma2-9B-TitanFusion.Q5_K_M.gguf	Q5_K_M	6.19GB
Gemma2-9B-TitanFusion.Q5_1.gguf	Q5_1	6.52GB
Gemma2-9B-TitanFusion.Q6_K.gguf	Q6_K	7.07GB
Gemma2-9B-TitanFusion.Q8_0.gguf	Q8_0	9.15GB

Original model description:

base_model:

ehristoforu/Gemma2-9B-it-psy10k-mental_health
ehristoforu/Gemma2-9b-it-train6
princeton-nlp/gemma-2-9b-it-SimPO
nbeerbower/gemma2-gutenberg-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 nbeerbower/gemma2-gutenberg-9B 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: princeton-nlp/gemma-2-9b-it-SimPO
    parameters:
      weight: 0.5
      density: 0.5
  - model: nbeerbower/gemma2-gutenberg-9B
    parameters:
      weight: 0.5
      density: 0.5
  - model: ehristoforu/Gemma2-9B-it-psy10k-mental_health
    parameters:
      weight: 0.5
      density: 0.5
  - model: ehristoforu/Gemma2-9b-it-train6
    parameters:
      weight: 0.5
      density: 0.5
merge_method: dare_ties
base_model: nbeerbower/gemma2-gutenberg-9B
dtype: bfloat16

Created: Oct 12, 2024
Updated: Oct 12, 2024