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RichardErkhov/
mergekit-community_-_mergekit-model_stock-tetlejm-gguf

Name: mergekit-community_-_mergekit-model_stock-tetlejm-gguf
Availability: InStock

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mergekit-model_stock-tetlejm - GGUF

Model creator: https://huggingface.co/mergekit-community/
Original model: https://huggingface.co/mergekit-community/mergekit-model_stock-tetlejm/

Name	Quant method	Size
mergekit-model_stock-tetlejm.Q2_K.gguf	Q2_K	1.27GB
mergekit-model_stock-tetlejm.IQ3_XS.gguf	IQ3_XS	1.38GB
mergekit-model_stock-tetlejm.IQ3_S.gguf	IQ3_S	1.44GB
mergekit-model_stock-tetlejm.Q3_K_S.gguf	Q3_K_S	1.44GB
mergekit-model_stock-tetlejm.IQ3_M.gguf	IQ3_M	1.49GB
mergekit-model_stock-tetlejm.Q3_K.gguf	Q3_K	1.57GB
mergekit-model_stock-tetlejm.Q3_K_M.gguf	Q3_K_M	1.57GB
mergekit-model_stock-tetlejm.Q3_K_L.gguf	Q3_K_L	1.69GB
mergekit-model_stock-tetlejm.IQ4_XS.gguf	IQ4_XS	1.71GB
mergekit-model_stock-tetlejm.Q4_0.gguf	Q4_0	1.79GB
mergekit-model_stock-tetlejm.IQ4_NL.gguf	IQ4_NL	1.79GB
mergekit-model_stock-tetlejm.Q4_K_S.gguf	Q4_K_S	1.8GB
mergekit-model_stock-tetlejm.Q4_K.gguf	Q4_K	1.88GB
mergekit-model_stock-tetlejm.Q4_K_M.gguf	Q4_K_M	1.88GB
mergekit-model_stock-tetlejm.Q4_1.gguf	Q4_1	1.95GB
mergekit-model_stock-tetlejm.Q5_0.gguf	Q5_0	2.11GB
mergekit-model_stock-tetlejm.Q5_K_S.gguf	Q5_K_S	2.11GB
mergekit-model_stock-tetlejm.Q5_K.gguf	Q5_K	2.16GB
mergekit-model_stock-tetlejm.Q5_K_M.gguf	Q5_K_M	2.16GB
mergekit-model_stock-tetlejm.Q5_1.gguf	Q5_1	2.28GB
mergekit-model_stock-tetlejm.Q6_K.gguf	Q6_K	2.46GB
mergekit-model_stock-tetlejm.Q8_0.gguf	Q8_0	3.19GB

Original model description:

base_model:

bunnycore/Llama-3.2-3B-All-Mix
huihui-ai/Llama-3.2-3B-Instruct-abliterated
prithivMLmods/Codepy-Deepthink-3B 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 Model Stock 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

merge_method: model_stock
dtype: float16
normalize: True
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
models:
  - model: bunnycore/Llama-3.2-3B-All-Mix
    parameters:
      weight: 10
      density: 1
  - model: prithivMLmods/Codepy-Deepthink-3B
    parameters:
      weight: 7
      density: 0.8
  - model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
    parameters:
      weight: 7
      density: 0.8

RichardErkhov/mergekit-community_-_mergekit-model_stock-tetlejm-gguf