Notes
This is not intended for end users. This is a merge of entirely finetunes created using mergekit, used as a first stage in multiple merges, because model_stock is most effective when integrating finetunes instead of other merges. Quality decays when used with merged mods unless other steps (finetuning, well-tested evolutionary merges) are taken.
This model is intended as an intermediate step to others that will reinforce quality. Because this is a very bulky merge to have to repeat, I'm making it available to others.
Models Merged
The following models were included in the merge:
- oxyapi/oxy-1-small
- rombodawg/Rombos-LLM-V2.6-Qwen-14b
- arcee-ai/Virtuoso-Small
- underwoods/medius-erebus-magnum-14b
- v000000/Qwen2.5-Lumen-14B
- Qwen/Qwen2.5-14B-Instruct
- allura-org/TQ2.5-14B-Sugarquill-v1
- VAGOsolutions/SauerkrautLM-v2-14b-DPO
- sthenno-com/miscii-14b-1028
- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
- CultriX/Qwen2.5-14B-Wernicke-SFT
Configuration
The following YAML configuration was used to produce this model:
name: Qwenvergence-v2
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: oxyapi/oxy-1-small
- model: allura-org/TQ2.5-14B-Sugarquill-v1
- model: underwoods/medius-erebus-magnum-14b
- model: v000000/Qwen2.5-Lumen-14B
- model: CultriX/Qwen2.5-14B-Wernicke-SFT
- model: sthenno-com/miscii-14b-1028
- model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
- model: VAGOsolutions/SauerkrautLM-v2-14b-DPO
- model: arcee-ai/Virtuoso-Small
- model: Qwen/Qwen2.5-14B-Instruct
dtype: bfloat16
out_dtype: bfloat16
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