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