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RichardErkhov/
Hjgugugjhuhjggg_-_mergekit-ties-kmlzhzo-gguf

Name: Hjgugugjhuhjggg_-_mergekit-ties-kmlzhzo-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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mergekit-ties-kmlzhzo - GGUF

Model creator: https://huggingface.co/Hjgugugjhuhjggg/
Original model: https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-kmlzhzo/

Name	Quant method	Size
mergekit-ties-kmlzhzo.Q2_K.gguf	Q2_K	1.39GB
mergekit-ties-kmlzhzo.IQ3_XS.gguf	IQ3_XS	1.53GB
mergekit-ties-kmlzhzo.IQ3_S.gguf	IQ3_S	1.59GB
mergekit-ties-kmlzhzo.Q3_K_S.gguf	Q3_K_S	1.59GB
mergekit-ties-kmlzhzo.IQ3_M.gguf	IQ3_M	1.65GB
mergekit-ties-kmlzhzo.Q3_K.gguf	Q3_K	1.73GB
mergekit-ties-kmlzhzo.Q3_K_M.gguf	Q3_K_M	1.73GB
mergekit-ties-kmlzhzo.Q3_K_L.gguf	Q3_K_L	1.85GB
mergekit-ties-kmlzhzo.IQ4_XS.gguf	IQ4_XS	1.91GB
mergekit-ties-kmlzhzo.Q4_0.gguf	Q4_0	1.99GB
mergekit-ties-kmlzhzo.IQ4_NL.gguf	IQ4_NL	2.0GB
mergekit-ties-kmlzhzo.Q4_K_S.gguf	Q4_K_S	2.0GB
mergekit-ties-kmlzhzo.Q4_K.gguf	Q4_K	2.09GB
mergekit-ties-kmlzhzo.Q4_K_M.gguf	Q4_K_M	2.09GB
mergekit-ties-kmlzhzo.Q4_1.gguf	Q4_1	2.18GB
mergekit-ties-kmlzhzo.Q5_0.gguf	Q5_0	2.37GB
mergekit-ties-kmlzhzo.Q5_K_S.gguf	Q5_K_S	2.37GB
mergekit-ties-kmlzhzo.Q5_K.gguf	Q5_K	2.41GB
mergekit-ties-kmlzhzo.Q5_K_M.gguf	Q5_K_M	2.41GB
mergekit-ties-kmlzhzo.Q5_1.gguf	Q5_1	2.55GB
mergekit-ties-kmlzhzo.Q6_K.gguf	Q6_K	2.76GB
mergekit-ties-kmlzhzo.Q8_0.gguf	Q8_0	3.58GB

Original model description:

base_model:

bunnycore/Llama-3.2-3B-Stock
bunnycore/Llama-3.2-3B-ProdigyPlusPlus
bunnycore/Llama-3.2-3B-Pure-RP
bunnycore/Llama-3.2-3B-Prodigy
bunnycore/Llama-3.2-3B-Long-Think
bunnycore/Llama-3.2-3B-Apex
bunnycore/Llama-3.2-3B-Sci-Think
huihui-ai/Llama-3.2-3B-Instruct-abliterated
bunnycore/Llama-3.2-3B-Booval
bunnycore/Llama-3.2-3B-Mix-Skill 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 TIES merge method using huihui-ai/Llama-3.2-3B-Instruct-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:

yaml

models:
  - model: bunnycore/Llama-3.2-3B-Long-Think
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Pure-RP
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Apex
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix-Skill
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Booval
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Prodigy
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Sci-Think
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Stock
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
parameters:
  normalize: false
  int8_mask: true
dtype: float16

RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-kmlzhzo-gguf