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

---
<img src="https://huggingface.co/Alsebay/L3-8B-SMaid-v0.3/resolve/main/cover/cover.png" alt="img" style="width: 60%; min-width: 120px; height:80%; min-height: 200px; max-width:360px; max-height:600px; display: block">

# Best of L3-8B merge series for me. I choose 2 best variants to publish.

SMaid-V0.1: More smart, understand well content, more novelwriting. I like this version.

SMaid-V0.3: More talkative, active, energetic. It good enough

No V0.2 because I deleted it, it's a worst model of series.

I think Stheno and Lumumaid can be like a 'ying-yang', so I combine them, lol. Have test on Chaiverse, both of them got > 1995 elo score from begining. (Thanks Sao10K let me know about ChaiVerse :) )

SMaid = Stheno + LumiMaid

# Below is the auto-generate by Mergekit


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](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS) as a base.

### Models Merged

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

### Configuration

The following YAML configuration was used to produce this model:

```yaml

slices:
- sources:
  - layer_range: [0, 16]
    model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
    parameters:
      density: 0.4
      weight: 1.0
  - layer_range: [0, 16]
    model: Sao10K/L3-8B-Stheno-v3.2
    parameters:
      density: 0.6
      weight: 0.9
- sources:
  - layer_range: [16, 32]
    model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
    parameters:
      density: 0.2
      weight: 0.5
  - layer_range: [16, 32]
    model: Sao10K/L3-8B-Stheno-v3.2
    parameters:
      density: 0.8
      weight: 1.0
merge_method: dare_ties
base_model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
parameters:
int8_mask: true
dtype: bfloat16

```