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Wanted to take a stab at this so I quanted it, but only the 6bpw and 4bpw quants.

This is the EXL2 6bpw version of this model. For the original model, go here
For the 4bpw version, go here

merge

Name: Qwen2.5-32b-Tatewaki-Kunou-EXL2-6bpw
Availability: InStock

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

Merge Details

The Blue Thunder

Merge Method

This model was merged using the TIES merge method using Sao10K/32B-Qwen2.5-Kunou-v1 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: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
    parameters:
      density: 0.75
      weight: 0.75
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
    parameters:
      density: 0.5
      weight: 0.5
  - model: Sao10K/32B-Qwen2.5-Kunou-v1
    parameters:
      density: 0.8
      weight: 1
  - model: Rombo-Org/Rombo-LLM-V2.5-Qwen-32b
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Sao10K/32B-Qwen2.5-Kunou-v1
parameters:
  normalize: false
  int8_mask: true
dtype: float16

Statuo/Qwen2.5-32b-Tatewaki-Kunou-EXL2-6bpw

merge

Merge Details

Merge Method

Models Merged

Configuration

Statuo/
Qwen2.5-32b-Tatewaki-Kunou-EXL2-6bpw