---
base_model: TareksTesting/Legion-V2.2-LLaMa-70B
base_model_relation: quantized
library_name: transformers
tags:
- mergekit
- merge
- exl2
- 3.5-bit

---
# EXL2 Quant
This is an EXL2 Quant (3.5bpw H8) by ArtusDev.

# merge

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 [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [TareksLab/L-BASE-V1](https://huggingface.co/TareksLab/L-BASE-V1) as a base.

### Models Merged

The following models were included in the merge:
* [TareksLab/L2-MERGE2a](https://huggingface.co/TareksLab/L2-MERGE2a)
* [TareksLab/L2-MERGE4](https://huggingface.co/TareksLab/L2-MERGE4)
* [TareksLab/L2-MERGE3](https://huggingface.co/TareksLab/L2-MERGE3)
* [TareksLab/L2-MERGE1](https://huggingface.co/TareksLab/L2-MERGE1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: TareksLab/L2-MERGE4
    parameters:
      weight: 
      - filter: self_attn
        value: [0.3, 0.1, 0.2]
      - filter: mlp
        value: [0.4, 0.2, 0.1]
      - value: 0.2
      density: 0.7
      lambda: 1.05
  - model: TareksLab/L2-MERGE2a
    parameters:
      weight: 
      - filter: self_attn
        value: [0.2, 0.1, 0.3]
      - filter: mlp
        value: [0.3, 0.1, 0.2]
      - value: 0.2
      density: 0.65
      lambda: 1.05
  - model: TareksLab/L2-MERGE3
    parameters:
      weight: 
      - filter: self_attn
        value: [0.1, 0.3, 0.1]
      - filter: mlp
        value: [0.2, 0.3, 0.1]
      - value: 0.2
      density: 0.6
      lambda: 1.05
  - model: TareksLab/L2-MERGE1
    parameters:
      weight: 
      - filter: self_attn
        value: [0.2, 0.2, 0.1]
      - filter: mlp
        value: [0.1, 0.2, 0.2]
      - value: 0.2
      density: 0.6
      lambda: 1
  - model: TareksLab/L-BASE-V1
    parameters:
      weight: 
      - filter: self_attn
        value: [0.1, 0.3, 0.3]
      - filter: mlp
        value: [0.1, 0.2, 0.4]
      - value: 0.2
      density: 0.55
      lambda: 1
base_model: TareksLab/L-BASE-V1
merge_method: dare_ties
parameters:
  normalize: false
  pad_to_multiple_of: 4
tokenizer:
  source: base
chat_template: llama3
dtype: bfloat16
```