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Eurstoria-106B

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Eurstoria-106B
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---
base_model:
- Steelskull/L3-MS-Astoria-70b
- Sao10K/L3-70B-Euryale-v2.1
library_name: transformers
tags:
- mergekit
- merge

---

# Eurstoria-120B

![](Unholy.png)

A Llama-3 Decoder only model by combining 2x finetuned Llama-3 70B models into 1.

## Merge Details
### Merge Method

This model was merged using the passthrough merge method.

### Models Merged

The following models were included in the merge:
* [Steelskull/L3-MS-Astoria-70b](https://huggingface.co/Steelskull/L3-MS-Astoria-70b)
* [Sao10K/L3-70B-Euryale-v2.1](https://huggingface.co/Sao10K/L3-70B-Euryale-v2.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: Steelskull/L3-MS-Astoria-70b
      layer_range: [0, 16]
  - sources:
    - model: Sao10K/L3-70B-Euryale-v2.1
      layer_range: [8, 24]
  - sources:
    - model: Steelskull/L3-MS-Astoria-70b
      layer_range: [25, 40]
  - sources:
    - model: Sao10K/L3-70B-Euryale-v2.1
      layer_range: [33, 48]
  - sources:
    - model: Steelskull/L3-MS-Astoria-70b
      layer_range: [41, 56]
  - sources:
    - model: Sao10K/L3-70B-Euryale-v2.1
      layer_range: [49, 64]
  - sources:
    - model: Steelskull/L3-MS-Astoria-70b
      layer_range: [57, 72]
  - sources:
    - model: Sao10K/L3-70B-Euryale-v2.1
      layer_range: [65, 80]

merge_method: passthrough
dtype: float16
```

# Prompting Format

As both models are based off from instruct, Use the default [Llama 3 Instruct format](https://huggingface.co/Sao10K/L3-70B-Euryale-v2.1/blob/main/Euryale-v2.1-Llama-3-Instruct.json) would be fine.

# Screenshots

None. Unfortunately or Fortunately.

# Benchmarks

No one is willing to bench a 120B... right?

# Acknowledgements

The original ratios come from Goliath and are used as is. As such thanks to both [Alpindale](https://huggingface.co/alpindale) and [@Undi95](https://huggingface.co/Undi95) for their inital work.

Credits goes to [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge the model - [mergekit](https://github.com/cg123/mergekit).