MERGE3
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Linear DELLA merge method using TareksLab/Diamond-DL-V1-LLaMa-70B as a base.
Models Merged
The following models were included in the merge:
- TareksLab/Citrine-MS-V3-LLaMa-70B
- TareksLab/Ruby-D-V3-LLaMa-70B
- TareksLab/Emerald-SCE-V3-LLaMa-70B
- TareksLab/Amethyst-SCE-V4-LLaMa-70B
- TareksLab/Carnelian-SCE-V4-LLaMa-70B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: TareksLab/Emerald-SCE-V3-LLaMa-70B
parameters:
weight: [0.11, 0.12, 0.17, 0.25, 0.35]
density: 0.7
epsilon: 0.20
- model: TareksLab/Carnelian-SCE-V4-LLaMa-70B
parameters:
weight: [0.13, 0.16, 0.2, 0.27, 0.24]
density: 0.7
epsilon: 0.20
- model: TareksLab/Ruby-D-V3-LLaMa-70B
parameters:
weight: [0.17, 0.2, 0.26, 0.2, 0.17]
density: 0.7
epsilon: 0.20
- model: TareksLab/Amethyst-SCE-V4-LLaMa-70B
parameters:
weight: [0.24, 0.27, 0.2, 0.16, 0.13]
density: 0.7
epsilon: 0.20
- model: TareksLab/Citrine-MS-V3-LLaMa-70B
parameters:
weight: [0.35, 0.25, 0.17, 0.12, 0.11]
density: 0.7
epsilon: 0.20
- model: TareksLab/Diamond-DL-V1-LLaMa-70B
parameters:
weight: 0.10
density: 0.7
epsilon: 0.20
merge_method: della_linear
base_model: TareksLab/Diamond-DL-V1-LLaMa-70B
parameters:
lambda: 1.1
normalize: false
dtype: float32
out_dtype: bfloat16
chat_template: llama3
tokenizer:
source: TareksLab/Ruby-D-V3-LLaMa-70B
pad_to_multiple_of: 8
- Downloads last month
- 27
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support