README.md

---
base_model:
- Undi95/Miqu-70B-Alpaca-DPO
- Sao10K/Euryale-1.3-L2-70B
library_name: transformers
tags:
- mergekit
- merge

---
# Lumiere-120b

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

## Quants

* [mradermacher/Lumiere-120b-GGUF](https://huggingface.co/mradermacher/Lumiere-120b-GGUF)
* [mradermacher/Lumiere-120b-i1-GGUF](https://huggingface.co/mradermacher/Lumiere-120b-i1-GGUF)

## Merge Details
### Merge Method

This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged

The following models were included in the merge:
* [Undi95/Miqu-70B-Alpaca-DPO](https://huggingface.co/Undi95/Miqu-70B-Alpaca-DPO)
* [Sao10K/Euryale-1.3-L2-70B](https://huggingface.co/Sao10K/Euryale-1.3-L2-70B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: linear
parameters:
  weight: 1.0
slices:
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [0, 1]
      - model: Sao10K/Euryale-1.3-L2-70B
        layer_range: [0, 1]
        parameters:
          weight: 0
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [1, 20]
  - sources:
      - model: Sao10K/Euryale-1.3-L2-70B
        layer_range: [10, 30]
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [20, 40]
  - sources:
      - model: Sao10K/Euryale-1.3-L2-70B
        layer_range: [30, 50]
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [40, 60]
  - sources:
      - model: Sao10K/Euryale-1.3-L2-70B
        layer_range: [50, 70]
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [60, 79]
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [79, 80]
      - model: Sao10K/Euryale-1.3-L2-70B
        layer_range: [79, 80]
        parameters:
          weight: 0
dtype: float16
tokenizer_source: model:Undi95/Miqu-70B-Alpaca-DPO

```