---
base_model:
- Sao10K/L3-8B-Stheno-v3.1
- NeverSleep/Llama-3-Lumimaid-8B-v0.1
- Sao10K/L3-8B-Stheno-v3.2
library_name: transformers
tags:
- mergekit
- merge

---
# L3-8b-SthenoLumiM-ModelStock

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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) as a base.

### Models Merged

The following models were included in the merge:
* [Sao10K/L3-8B-Stheno-v3.1](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.1)
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [NeverSleep/Llama-3-Lumimaid-8B-v0.1](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

slices:
  - sources:
      - model: NeverSleep/Llama-3-Lumimaid-8B-v0.1
        layer_range: [0, 32]
      - model: Sao10K/L3-8B-Stheno-v3.1
        layer_range: [0, 32]
      - model: Sao10K/L3-8B-Stheno-v3.2
        layer_range: [0, 32]
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16



```