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 MrRobotoAI/10 as a base.
Models Merged
The following models were included in the merge:
- ResplendentAI/Kei_Llama3_8B
- ResplendentAI/Rawr_Llama3_8B
- ResplendentAI/Nymph_8B
- ResplendentAI/Aurora_l3_8B
- ResplendentAI/SOVL_Llama3_8B
- ResplendentAI/Aura_Uncensored_l3_8B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ResplendentAI/Nymph_8B
- model: ResplendentAI/Rawr_Llama3_8B
- model: ResplendentAI/SOVL_Llama3_8B
- model: ResplendentAI/Kei_Llama3_8B
- model: ResplendentAI/Aurora_l3_8B
- model: ResplendentAI/Aura_Uncensored_l3_8B
merge_method: model_stock
base_model: MrRobotoAI/10
normalize: false
dtype: float16
Models Merged
The following models were included in the merge:
- MrRobotoAI/3 + ResplendentAI/Llama3_Aesir_Preview_LoRA_128
- MrRobotoAI/3 + ResplendentAI/Smarts_Llama3
- MrRobotoAI/3 + ResplendentAI/Theory_of_Mind_Llama3
- MrRobotoAI/3 + ResplendentAI/BlueMoon_Llama3
- MrRobotoAI/3 + ResplendentAI/Aura_Llama3
- MrRobotoAI/3 + ResplendentAI/Luna_Llama3
- MrRobotoAI/3 + ResplendentAI/NoWarning_Llama3
Configuration
The following YAML configuration was used to produce this model:
models:
- model: MrRobotoAI/3+ResplendentAI/Theory_of_Mind_Llama3
- model: MrRobotoAI/3+ResplendentAI/Aura_Llama3
- model: MrRobotoAI/3+ResplendentAI/Luna_Llama3
- model: MrRobotoAI/3+ResplendentAI/NoWarning_Llama3
- model: MrRobotoAI/3+ResplendentAI/BlueMoon_Llama3
- model: MrRobotoAI/3+ResplendentAI/Smarts_Llama3
- model: MrRobotoAI/3+ResplendentAI/Llama3_Aesir_Preview_LoRA_128
merge_method: model_stock
base_model: MrRobotoAI/10
normalize: false
dtype: float16
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: dare_linear
models:
- model: MrRobotoAI/10
parameters:
weight:
- filter: v_proj
value: [0.8, 0.8, 0.75, 0.55, 0.35, 0.15, 0.35, 0.55, 0.75, 0.8, 0.8]
- filter: o_proj
value: [0.8, 0.8, 0.75, 0.55, 0.35, 0.15, 0.35, 0.55, 0.75, 0.8, 0.8]
- filter: up_proj
value: [0.8, 0.8, 0.75, 0.55, 0.35, 0.15, 0.35, 0.55, 0.75, 0.8, 0.8]
- filter: gate_proj
value: [0.8, 0.8, 0.75, 0.55, 0.35, 0.15, 0.35, 0.55, 0.75, 0.8, 0.8]
- filter: down_proj
value: [0.8, 0.8, 0.75, 0.55, 0.35, 0.15, 0.35, 0.55, 0.75, 0.8, 0.8]
- value: 1
- model: MrRobotoAI/ResplendentAI-ChattyMix-8b
parameters:
weight:
- filter: v_proj
value: [0.2, 0.2, 0.25, 0.45, 0.65, 0.85, 0.65, 0.45, 0.25, 0.2, 0.2]
- filter: o_proj
value: [0.2, 0.2, 0.25, 0.45, 0.65, 0.85, 0.65, 0.45, 0.25, 0.2, 0.2]
- filter: up_proj
value: [0.2, 0.2, 0.25, 0.45, 0.65, 0.85, 0.65, 0.45, 0.25, 0.2, 0.2]
- filter: gate_proj
value: [0.2, 0.2, 0.25, 0.45, 0.65, 0.85, 0.65, 0.45, 0.25, 0.2, 0.2]
- filter: down_proj
value: [0.2, 0.2, 0.25, 0.45, 0.65, 0.85, 0.65, 0.45, 0.25, 0.2, 0.2]
- value: 0
base_model: MrRobotoAI/10
tokenizer_source: base
dtype: bfloat16
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