After some success with my merging my favorite Llama 3 models, I decided to try my hand on some Qwen 2.5 models I have tried and enjoyed. I never quite got fully onto the Qwen bandwagon as I always preferred LLaMa, but a lot of folks swear by Qwen. In my limited experience with Qwen I have enjoyed these models and merged something decent I think. For this merge I went for an default parameter Della method.
This is a merge of pre-trained language models created using
mergekit.
This model was merged using the della_linear merge method using
zetasepic/Qwen2.5-72B-Instruct-abliterated as a base.
1models:
2 - model: spow12/ChatWaifu_72B_v2.2
3 parameters:
4 weight: 0.25
5 - model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2
6 parameters:
7 weight: 0.25
8 - model: Steelskull/Q2.5-MS-Mistoria-72b-v2
9 parameters:
10 weight: 0.25
11 - model: Sao10K/72B-Qwen2.5-Kunou-v1
12 parameters:
13 weight: 0.25
14merge_method: della_linear
15base_model: zetasepic/Qwen2.5-72B-Instruct-abliterated
16dtype: bfloat16
17tokenizer_source: union
