MERGEDL
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/L33R1-T-BASE-70B as a base.
Models Merged
The following models were included in the merge:
- flammenai/Mahou-1.5-llama3.1-70B
- nbeerbower/llama3.1-kartoffeldes-70B
- SentientAGI/Dobby-Unhinged-Llama-3.3-70B
- flammenai/Llama3.1-Flammades-70B
- tenyx/Llama3-TenyxChat-70B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/llama3.1-kartoffeldes-70B
parameters:
weight: 0.18
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: flammenai/Mahou-1.5-llama3.1-70B
parameters:
weight: 0.16
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: flammenai/Llama3.1-Flammades-70B
parameters:
weight: 0.16
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: SentientAGI/Dobby-Unhinged-Llama-3.3-70B
parameters:
weight: 0.16
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: tenyx/Llama3-TenyxChat-70B
parameters:
weight: 0.16
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: TareksLab/L33R1-T-BASE-70B
parameters:
weight: 0.18
density: 0.7
epsilon: 0.1
lambda: 1.0
merge_method: della_linear
base_model: TareksLab/L33R1-T-BASE-70B
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
chat_template: llama3
tokenizer:
source: union
pad_to_multiple_of: 8
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