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 Nexesenex/Llama_3.x_70b_L3.3_Dolphin_128K_v1.02 as a base.
Models Merged
The following models were included in the merge:
- migtissera/Tess-3-Llama-3.1-70B
- huihui-ai/Llama-3.1-Nemotron-70B-Instruct-HF-abliterated
- WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-70B
- mlabonne/Hermes-3-Llama-3.1-70B-lorablated
- hitachi-nlp/Llama-3.1-70B-FLDx2
Configuration
The following YAML configuration was used to produce this model:
merge_method: model_stock
models:
- model: Nexesenex/Llama_3.x_70b_L3.3_Dolphin_128K_v1.02
parameters:
weight: 1.0
- model: huihui-ai/Llama-3.1-Nemotron-70B-Instruct-HF-abliterated
parameters:
weight: 1.0
- model: mlabonne/Hermes-3-Llama-3.1-70B-lorablated
parameters:
weight: 1.0
- model: hitachi-nlp/Llama-3.1-70B-FLDx2
parameters:
weight: 1.0
- model: WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-70B
parameters:
weight: 1.0
- model: migtissera/Tess-3-Llama-3.1-70B
parameters:
weight: 1.0
base_model: Nexesenex/Llama_3.x_70b_L3.3_Dolphin_128K_v1.02
dtype: bfloat16
out_dtype: bfloat16
parameters:
int8_mask: true
normalize: true
rescale: false
filter_wise: false
smooth: false
allow_negative_weights: false
chat_template: auto
tokenizer:
source: union
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