---
base_model:
- Replete-AI/L3-Pneuma-8B
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
library_name: transformers
tags:
- mergekit
- merge

---
# 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 della_linear merge method using [ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2](https://huggingface.co./ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2) as a base.

### Models Merged

The following models were included in the merge:
* [Replete-AI/L3-Pneuma-8B](https://huggingface.co./Replete-AI/L3-Pneuma-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
out_dtype: bfloat16
dtype: float32
tokenizer_source: base
merge_method: della_linear
parameters:
  int8_mask: true
  density: 0.5
  epsilon: 0.04
  lambda: 1.05
base_model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
models:
  - model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
    parameters:
      weight:
        - filter: v_proj
          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
        - filter: o_proj
          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
        - filter: up_proj
          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
        - filter: gate_proj
          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
        - filter: down_proj
          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
        - value: 1
  - model: Replete-AI/L3-Pneuma-8B
    parameters:
      weight:
        - filter: v_proj
          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
        - filter: o_proj
          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
        - filter: up_proj
          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
        - filter: gate_proj
          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
        - filter: down_proj
          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
        - value: 0

```