Kunokukulemonchini-7b-3.5bpw-exl2

This is an 3.5 bpw exl2 quant of a merger icefog72/Kunokukulemonchini-7b.

Only use if you have low end hardware. Use 4.1bpw, 5.0, and 6.5 versions instead if you have better hardware.

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:

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
Downloads last month
6
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Natkituwu/Kunokukulemonchini-7b-3.5bpw-exl2