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SteyrCannon-Qwen2.5-72b

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SteyrCannon-Qwen2.5-72b
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---
base_model:
- EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
- anthracite-org/magnum-v4-72b
library_name: transformers
tags:
- mergekit
- merge

---
# SteyrCannon-Qwen2.5-72b

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

Thanks to **Auri** for the suggestion!

This recipe follows closely to StarCannon-v3 but with the desnity for magnum-v4 reduced even further. Magnum-v4 feels a bit overcooked.

## Quants & Hosts

[![GGUF](https://img.shields.io/badge/featherless--ai--quants%2FKaraKaraWitch--SteyrCannon--Qwen2.5--72b-Dummy?style=flat&label=GGUF)](https://huggingface.co/featherless-ai-quants/KaraKaraWitch-SteyrCannon-Qwen2.5-72b-GGUF)

[![Featherless](https://img.shields.io/badge/KaraKaraWitch%2FSteyrCannon--Qwen2.5--72b-Dummy?style=flat&label=Featherless&color=facc15)](https://featherless.ai/models/KaraKaraWitch/SteyrCannon-Qwen2.5-72b)


## Merge Details
### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1) as a base.

### Models Merged

The following models were included in the merge:
* [anthracite-org/magnum-v4-72b](https://huggingface.co/anthracite-org/magnum-v4-72b)
* [EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: anthracite-org/magnum-v4-72b
    parameters:
      density: 0.25
      weight: 0.5
  - model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
    parameters:
      density: 0.75
      weight: 0.5

merge_method: ties
base_model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
parameters:
  normalize: true
dtype: bfloat16
```