base_model:
- CultriX/Llama3-8B-DPO
- hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
library_name: transformers
tags: - mergekit
- merge
- autoquant
- gguf
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the task arithmetic merge method using UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3 as a base.
Models Merged
The following models were included in the merge:
- CultriX/Llama3-8B-DPO
- hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
parameters:
weight: 1
layer_range: [0, 32]
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
weight: 1
layer_range: [0, 32]
- model: CultriX/Llama3-8B-DPO
parameters:
weight: 0.3
layer_range: [0, 32]
- model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
parameters:
weight: 0.7
layer_range: [0, 32]
merge_method: task_arithmetic
base_model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16