mpasila/Kunoichi-DPO-v2-Instruct-32k-7B-exl2-4bpw

This is an ExLlamaV2 quantized model in 4bpw of mpasila/Kunoichi-DPO-v2-Instruct-32k-7B using the default calibration dataset.

Original Model card:

Kunoichi-DPO-v2-Instruct-32k-7B

This is a merge of pre-trained language models created using mergekit.

This hopefully gives 32k context for Kunoichi-DPO-v2 model though since it also uses the instruct model it might change its behavior somewhat.

Merge script copied from this ichigoberry/pandafish-2-7b-32k.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using alpindale/Mistral-7B-v0.2-hf as a base.

Models Merged

The following models were included in the merge:

• mistralai/Mistral-7B-Instruct-v0.2
• SanjiWatsuki/Kunoichi-DPO-v2-7B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: alpindale/Mistral-7B-v0.2-hf
    # No parameters necessary for base model
  - model: mistralai/Mistral-7B-Instruct-v0.2
    parameters:
      density: 0.53
      weight: 0.4
  - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
    parameters:
      density: 0.53
      weight: 0.4
merge_method: dare_ties
base_model: alpindale/Mistral-7B-v0.2-hf
parameters:
  int8_mask: true
dtype: bfloat16