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RichardErkhov/
mergekit-community_-_mergekit-ties-jsvenvj-gguf

Name: mergekit-community_-_mergekit-ties-jsvenvj-gguf
Availability: InStock

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mergekit-ties-jsvenvj - GGUF

Model creator: https://huggingface.co/mergekit-community/
Original model: https://huggingface.co/mergekit-community/mergekit-ties-jsvenvj/

Name	Quant method	Size
mergekit-ties-jsvenvj.Q2_K.gguf	Q2_K	2.53GB
mergekit-ties-jsvenvj.IQ3_XS.gguf	IQ3_XS	2.81GB
mergekit-ties-jsvenvj.IQ3_S.gguf	IQ3_S	2.96GB
mergekit-ties-jsvenvj.Q3_K_S.gguf	Q3_K_S	2.95GB
mergekit-ties-jsvenvj.IQ3_M.gguf	IQ3_M	3.06GB
mergekit-ties-jsvenvj.Q3_K.gguf	Q3_K	3.28GB
mergekit-ties-jsvenvj.Q3_K_M.gguf	Q3_K_M	3.28GB
mergekit-ties-jsvenvj.Q3_K_L.gguf	Q3_K_L	3.56GB
mergekit-ties-jsvenvj.IQ4_XS.gguf	IQ4_XS	3.67GB
mergekit-ties-jsvenvj.Q4_0.gguf	Q4_0	3.83GB
mergekit-ties-jsvenvj.IQ4_NL.gguf	IQ4_NL	3.87GB
mergekit-ties-jsvenvj.Q4_K_S.gguf	Q4_K_S	3.86GB
mergekit-ties-jsvenvj.Q4_K.gguf	Q4_K	4.07GB
mergekit-ties-jsvenvj.Q4_K_M.gguf	Q4_K_M	4.07GB
mergekit-ties-jsvenvj.Q4_1.gguf	Q4_1	4.24GB
mergekit-ties-jsvenvj.Q5_0.gguf	Q5_0	4.65GB
mergekit-ties-jsvenvj.Q5_K_S.gguf	Q5_K_S	4.65GB
mergekit-ties-jsvenvj.Q5_K.gguf	Q5_K	4.78GB
mergekit-ties-jsvenvj.Q5_K_M.gguf	Q5_K_M	4.78GB
mergekit-ties-jsvenvj.Q5_1.gguf	Q5_1	5.07GB
mergekit-ties-jsvenvj.Q6_K.gguf	Q6_K	5.53GB
mergekit-ties-jsvenvj.Q8_0.gguf	Q8_0	7.17GB

Original model description:

base_model:

mistralai/Mistral-7B-v0.1
BioMistral/BioMistral-7B
mistralai/Mistral-7B-Instruct-v0.2 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 mistralai/Mistral-7B-v0.1 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: mistralai/Mistral-7B-v0.1
    #no parameters necessary for base model
  - model: mistralai/Mistral-7B-Instruct-v0.2
    parameters:
      density: 0.5
      weight: 0.5
  - model: BioMistral/BioMistral-7B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  normalize: false
  int8_mask: true
dtype: float16

RichardErkhov/mergekit-community_-_mergekit-ties-jsvenvj-gguf