merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using huihui-ai/QwQ-32B-Preview-abliterated as a base.
Models Merged
The following models were included in the merge:
- rombodawg/Rombos-Coder-V2.5-Qwen-32b
- fblgit/TheBeagle-v2beta-32B-MGS
- rombodawg/Rombos-LLM-V2.5-Qwen-32b
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
Configuration
The following YAML configuration was used to produce this model:
# QwQ-32B-Preview-abliterated-Self-instruct-4x-TIES-MGS-v1.0
models:
- model: rombodawg/Rombos-LLM-V2.5-Qwen-32b # Self-instruct fine-tuning on Qwen2.5
parameters:
density: 1.0
weight: 1.0
- model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 # RP/storywriting specialist model (hopefully correcting some of the known limitations of the base model)
parameters:
density: 1.0
weight: 1.0
- model: fblgit/TheBeagle-v2beta-32B-MGS # MGS training
parameters:
density: 1.0
weight: 1.0
- model: rombodawg/Rombos-Coder-V2.5-Qwen-32b # Self-instruct fine-tuning on Qwen2.5-Coder
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: huihui-ai/QwQ-32B-Preview-abliterated # Advanced AI reasoning capabilities - abliterated model as base
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: union