Model Stock: All we need is just a few fine-tuned models
Paper
• 2403.19522 • Published
• 14
This is a merge of pre-trained language models created using mergekit.
This merge was inspired by
v2.1
v2.0
v1.3
v1.2
This model was merged using the Model Stock merge method using cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
merge_method: model_stock
dtype: bfloat16
models:
- model: aixonlab/Eurydice-24b-v3.5 # storytelling / RP
- model: ReadyArt/Forgotten-Safeword-24B-v4.0 # uncensor + Cydonia
- model: ReadyArt/Broken-Tutu-24B # uncensor + nsfw + Cydonia
- model: PocketDoc/Dans-PersonalityEngine-V1.3.0-24b # Prompt Adherence