MERGE2
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using TareksLab/Emerald-V2-LLaMa-70B as a base.
Models Merged
The following models were included in the merge:
- TareksLab/Citrine-V2-LLaMa-70B
- TareksLab/Amethyst-V2-LLaMa-70B
- TareksLab/Carnelian-V2-LLaMa-70B
- TareksLab/Ruby-V2-LLaMa-70B
- TareksLab/Sapphire-V2-LLaMa-70B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: TareksLab/Emerald-V2-LLaMa-70B
parameters:
weight: [0.1, 0.1, 0.1, 0.1, 0.2, 0.5]
density: 0.5
- model: TareksLab/Carnelian-V2-LLaMa-70B
parameters:
weight: [0.1, 0.1, 0.1, 0.2, 0.4, 0.2]
density: 0.5
- model: TareksLab/Ruby-V2-LLaMa-70B
parameters:
weight: [0.1, 0.1, 0.2, 0.4, 0.2, 0.1]
density: 0.5
- model: TareksLab/Amethyst-V2-LLaMa-70B
parameters:
weight: [0.1, 0.2, 0.4, 0.2, 0.1, 0.1]
density: 0.5
- model: TareksLab/Citrine-V2-LLaMa-70B
parameters:
weight: [0.2, 0.4, 0.2, 0.1, 0.1, 0.1]
density: 0.5
- model: TareksLab/Sapphire-V2-LLaMa-70B
parameters:
weight: [0.5, 0.2, 0.1, 0.1, 0.1, 0.1]
density: 0.5
merge_method: dare_ties
base_model: TareksLab/Emerald-V2-LLaMa-70B
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
chat_template: llama3
tokenizer:
source: TareksLab/Ruby-V2-LLaMa-70B
pad_to_multiple_of: 8
- Downloads last month
- 0
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support