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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