---
base_model:
- TareksTesting/Scripturient-DL-LLaMa-70B
base_model_relation: quantized
quantized_by: ArtusDev
library_name: transformers
tags:
- mergekit
- merge
- exl3
license: llama3.3
---
# DL

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [DELLA](https://arxiv.org/abs/2406.11617) merge method using [TareksLab/Sapphire-V3-LLaMa-70B](https://huggingface.co/TareksLab/Sapphire-V3-LLaMa-70B) as a base.

### Models Merged

The following models were included in the merge:
* [TareksLab/Ruby-D-V3-LLaMa-70B](https://huggingface.co/TareksLab/Ruby-D-V3-LLaMa-70B)
* [TareksLab/Citrine-MS-V3-LLaMa-70B](https://huggingface.co/TareksLab/Citrine-MS-V3-LLaMa-70B)
* [TareksLab/Diamond-DL-V1-LLaMa-70B](https://huggingface.co/TareksLab/Diamond-DL-V1-LLaMa-70B)
* [TareksLab/Emerald-SCE-V3-LLaMa-70B](https://huggingface.co/TareksLab/Emerald-SCE-V3-LLaMa-70B)
* [TareksLab/Carnelian-SCE-V4-LLaMa-70B](https://huggingface.co/TareksLab/Carnelian-SCE-V4-LLaMa-70B)
* [TareksLab/Amethyst-SCE-V4-LLaMa-70B](https://huggingface.co/TareksLab/Amethyst-SCE-V4-LLaMa-70B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: TareksLab/Emerald-SCE-V3-LLaMa-70B
    parameters:
      weight: [0.1, 0.1, 0.1, 0.1, 0.2, 0.5]
      density: 0.5
      epsilon: 0.15
  - model: TareksLab/Carnelian-SCE-V4-LLaMa-70B
    parameters:
      weight: [0.1, 0.1, 0.1, 0.2, 0.4, 0.2]
      density: 0.5
      epsilon: 0.15
  - model: TareksLab/Ruby-D-V3-LLaMa-70B
    parameters:
      weight: [0.1, 0.1, 0.2, 0.4, 0.2, 0.1]
      density: 0.5
      epsilon: 0.15
  - model: TareksLab/Amethyst-SCE-V4-LLaMa-70B
    parameters:
      weight: [0.1, 0.2, 0.4, 0.2, 0.1, 0.1]
      density: 0.5
      epsilon: 0.15
  - model: TareksLab/Citrine-MS-V3-LLaMa-70B
    parameters:
      weight: [0.2, 0.4, 0.2, 0.1, 0.1, 0.1]
      density: 0.5
      epsilon: 0.15
  - model: TareksLab/Diamond-DL-V1-LLaMa-70B
    parameters:
      weight: [0.5, 0.2, 0.1, 0.1, 0.1, 0.1]
      density: 0.5
      epsilon: 0.15
merge_method: della
base_model: TareksLab/Sapphire-V3-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

```