README.md

metadata

base_model:
  - grimjim/kukulemon-7B
  - Nitral-AI/Kunocchini-7b-128k-test
library_name: transformers
tags:
  - mergekit
  - merge
  - alpaca
  - mistral
license: cc-by-nc-4.0
quantized_by: icefog72

Kunokukulemonchini-7b-4.1bpw-exl2

This is an 4.1bpw exl2 quant of a merger icefog72/Kunokukulemonchini-7b for people like me with 6gb vram.

Merge Details

Slightly edited kukulemon-7B config.json before merge to get at least ~32k context window.

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• grimjim/grimjim/kukulemon-7B
• Nitral-AI/Kunocchini-7b-128k-test

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: grimjim/kukulemon-7B
        layer_range: [0, 32]
      - model: Nitral-AI/Kunocchini-7b-128k-test
        layer_range: [0, 32]
merge_method: slerp
base_model: Nitral-AI/Kunocchini-7b-128k-test
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: float16