đ MERGE2
This is a merge of pre - trained language models aiming to leverage the strengths of multiple models through a specialized merging process, providing more powerful and flexible language processing capabilities.

Formerly known as MO - MODEL - Fused - V0.6 - LLaMa - 70B, this model is part of my ongoing experiments with merging specialized curated models. For this one, I started experimenting with gradients, to give myself more finetuned control of how the models influence the final merge.
đĻ Installation
Since it's a pre - trained model merge, there's no specific installation command here. You can use it with the transformers
library as specified.
đģ Usage Examples
Recommended sampler settings
Temp 1.0
Min P 0.02
â ī¸ Important Note
Because of the nature of this sort of 'Hyper Multi Model Merge', my recommendation is not to run this on anything lower than a Q5 quant.
đĄ Usage Tip
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Support on KO - FI <3
đ Documentation
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using [TareksLab/MO - MODEL6 - V0.1 - LLaMa - 70B](https://huggingface.co/TareksLab/MO - MODEL6 - V0.1 - LLaMa - 70B) as a base.
Models Merged
The following models were included in the merge:
- [TareksLab/MO - MODEL3 - V0.2 - LLaMa - 70B](https://huggingface.co/TareksLab/MO - MODEL3 - V0.2 - LLaMa - 70B)
- [TareksLab/MO - MODEL5 - V0.3 - LLaMa - 70B](https://huggingface.co/TareksLab/MO - MODEL5 - V0.3 - LLaMa - 70B)
- [TareksLab/MO - MODEL2 - V0.2 - LLaMa - 70B](https://huggingface.co/TareksLab/MO - MODEL2 - V0.2 - LLaMa - 70B)
- [TareksLab/MO - MODEL1 - V1 - LLaMa - 70B](https://huggingface.co/TareksLab/MO - MODEL1 - V1 - LLaMa - 70B)
- [TareksLab/MO - MODEL4 - V0.1 - LLaMa - 70B](https://huggingface.co/TareksLab/MO - MODEL4 - V0.1 - LLaMa - 70B)
Configuration
The following YAML configuration was used to produce this model:
models:
- model: TareksLab/MO-MODEL6-V0.1-LLaMa-70B
parameters:
weight: [0.1, 0.1, 0.1, 0.2, 0.5]
density: 0.5
- model: TareksLab/MO-MODEL4-V0.1-LLaMa-70B
parameters:
weight: [0.1, 0.1, 0.2, 0.4, 0.2]
density: 0.5
- model: TareksLab/MO-MODEL5-V0.3-LLaMa-70B
parameters:
weight: [0.1, 0.2, 0.4, 0.2, 0.1]
density: 0.5
- model: TareksLab/MO-MODEL3-V0.2-LLaMa-70B
parameters:
weight: [0.2, 0.4, 0.2, 0.1, 0.1]
density: 0.5
- model: TareksLab/MO-MODEL2-V0.2-LLaMa-70B
parameters:
weight: [0.5, 0.2, 0.1, 0.1, 0.1]
density: 0.5
- model: TareksLab/MO-MODEL1-V1-LLaMa-70B
parameters:
weight: 0.10
density: 0.5
merge_method: dare_ties
base_model: TareksLab/MO-MODEL6-V0.1-LLaMa-70B
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
chat_template: llama3
tokenizer:
source: base
đ License
This model is under the llama3.3
license.
đ Information Table
Property |
Details |
Base Models |
TareksLab/MO - MODEL3 - V0.2 - LLaMa - 70B, TareksLab/MO - MODEL5 - V0.3 - LLaMa - 70B, TareksLab/MO - MODEL2 - V0.2 - LLaMa - 70B, TareksLab/MO - MODEL1 - V1 - LLaMa - 70B, TareksLab/MO - MODEL6 - V0.1 - LLaMa - 70B, TareksLab/MO - MODEL4 - V0.1 - LLaMa - 70B |
Library Name |
transformers |
Tags |
mergekit, merge |
License |
llama3.3 |