merge

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

It's functional: https://i.imgur.com/swi3lEe.png

Eos token is slightly different on both models. Try the tokenizers out and see which one works best. Enabling/disabling the BOS token also changes the outputs.

Merge Method

This model was merged using the TIES merge method using Qwen/QwQ-32B-Preview as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Qwen/QwQ-32B-Preview
    parameters:
      weight: 1
      density: 1
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
    parameters:
      weight: [0.0, 0.2, 0.66, 0.8, 1.0, 0.8, 0.66, 0.2, 0.0]
      density: 0.5
merge_method: ties
base_model: Qwen/QwQ-32B-Preview
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
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