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---
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
```
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