Notes
This is not intended for end users, but as a base for subsequent merges. This model was merged using the Model Stock merge method using Qwen/Qwen2.5-14B as a base.
Model_stock is most effective when integrating finetunes instead of other merges. Its quality decays when used with merged mods unless other steps (finetuning, well-tested evolutionary merges) are taken.
I use model_stock as a foundation and adjust from there. Because this is a bulky merge to have to repeat, I'm making it available to others.
Configuration
The following YAML configuration was used to produce this model:
name: Qwenvergence-v2-Prose
merge_method: model_stock
base_model: Qwen/Qwen2.5-14B
tokenizer_source: base
parameters:
int8_mask: true
normalize: true
rescale: false
models:
- model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
- model: allura-org/TQ2.5-14B-Sugarquill-v1
- model: oxyapi/oxy-1-small
- model: sthenno-com/miscii-14b-1028
- model: underwoods/medius-erebus-magnum-14b
- model: v000000/Qwen2.5-Lumen-14B
- model: arcee-ai/Virtuoso-Small
- model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
dtype: bfloat16
out_dtype: bfloat16
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