README.md

---
base_model:
- SicariusSicariiStuff/Negative_LLAMA_70B
- TheDrummer/Anubis-70B-v1
library_name: transformers
license: llama3.3
tags:
- mergekit
- merge

---
![Enthralling Creatures](Negative-Anubis.png)

# Negative Drummer

Enjoyed [SicariusSicariiStuff/Negative_LLAMA_70B](https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B) but the prose was too dry for my tastes. So I merged it with [TheDrummer/Anubis-70B-v1](https://huggingface.co/TheDrummer/Anubis-70B-v1) for verbosity. Anubis has positivity bias so Negative could balance things out.

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

GGUF Quants:

- GGUF (static): [bartowski/Negative-Anubis-70B-v1-GGUF](https://huggingface.co/bartowski/Negative-Anubis-70B-v1-GGUF)
- ~~GGUF (static) another: [mradermacher/Negative-Anubis-70B-v1-GGUF](https://huggingface.co/mradermacher/Negative-Anubis-70B-v1-GGUF)~~
- ~~GGUF (weighted/imatrix): [mradermacher/Negative-Anubis-70B-v1-i1-GGUF](https://huggingface.co/mradermacher/Negative-Anubis-70B-v1-i1-GGUF)~~

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [SicariusSicariiStuff/Negative_LLAMA_70B](https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B)
* [TheDrummer/Anubis-70B-v1](https://huggingface.co/TheDrummer/Anubis-70B-v1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
  - model: TheDrummer/Anubis-70B-v1
merge_method: slerp
base_model: TheDrummer/Anubis-70B-v1
parameters:
  t: [0.1, 0.55, 1, 0.55, 0.1]
dtype: bfloat16
```