merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using NousResearch/Hermes-3-Llama-3.1-8B as a base.
Models Merged
The following models were included in the merge:
- lcw99/llama-3-8b-it-ko-chang
- maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
- maywell/Llama-3-Ko-8B-Instruct
- meta-llama/Meta-Llama-3.1-8B
- tesser-ai/Tesser-Llama-3-Ko-8B
- beomi/Llama-3-Open-Ko-8B-Instruct-preview
- openchat/openchat-3.6-8b-20240522
- MLP-KTLim/llama-3-Korean-Bllossom-8B
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: openchat/openchat-3.6-8b-20240522
layer_range: [0, 32]
parameters:
filter_wise: false # calculate with per-tensor. Not recommended
- model: MLP-KTLim/llama-3-Korean-Bllossom-8B
layer_range: [0, 32]
parameters:
filter_wise: false # calculate with per-tensor. Not recommended
- model: lcw99/llama-3-8b-it-ko-chang
layer_range: [0, 32]
parameters:
filter_wise: false # calculate with per-tensor. Not recommended
- model: beomi/Llama-3-Open-Ko-8B-Instruct-preview
layer_range: [0, 32]
parameters:
filter_wise: false # calculate with per-tensor. Not recommended
- model: maywell/Llama-3-Ko-8B-Instruct
layer_range: [0, 32]
parameters:
filter_wise: false # calculate with per-tensor. Not recommended
- model: tesser-ai/Tesser-Llama-3-Ko-8B
layer_range: [0, 32]
parameters:
filter_wise: false # calculate with per-tensor. Not recommended
- model: maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
layer_range: [0, 32]
parameters:
filter_wise: false # calculate with per-tensor. Not recommended
- model: meta-llama/Meta-Llama-3.1-8B
layer_range: [0, 32]
parameters:
filter_wise: false # calculate with per-tensor. Not recommended
- model: NousResearch/Hermes-3-Llama-3.1-8B
layer_range: [0, 32]
parameters:
filter_wise: false # calculate with per-tensor. Not recommended
merge_method: model_stock
base_model: NousResearch/Hermes-3-Llama-3.1-8B
dtype: bfloat16
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