---
base_model:
- Hastagaras/Halu-OAS-8B-Llama3
- openlynn/Llama-3-Soliloquy-8B-v2
- grimjim/llama-3-aaditya-OpenBioLLM-8B
- NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- mlabonne/NeuralDaredevil-8B-abliterated
library_name: transformers
tags:
- mergekit
- merge
license: cc-by-nc-4.0
---
# Llama-3-Steerpike-v1-OAS-8B

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

This model might result in characters who are "too" smart if conversation veers into the analytical, but that may be fine depending on the context.
There are issues early on with the consistency of formatting, though that will stabilize with more context.
This model is imperfect, but interesting.

Tested lightly with Instruct prompts, minP=0.01, and temperature 1+.

Built with Meta Llama 3.

## Merge Details
### Merge Method

This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated) as a base.

### Models Merged

The following models were included in the merge:
* [Hastagaras/Halu-OAS-8B-Llama3](https://huggingface.co/Hastagaras/Halu-OAS-8B-Llama3)
* [openlynn/Llama-3-Soliloquy-8B-v2](https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2)
* [grimjim/llama-3-aaditya-OpenBioLLM-8B](https://huggingface.co/grimjim/llama-3-aaditya-OpenBioLLM-8B)
* [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: mlabonne/NeuralDaredevil-8B-abliterated
dtype: bfloat16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 32]
    model: mlabonne/NeuralDaredevil-8B-abliterated
  - layer_range: [0, 32]
    model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
    parameters:
      weight: 0.5
  - layer_range: [0, 32]
    model: Hastagaras/Halu-OAS-8B-Llama3
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: openlynn/Llama-3-Soliloquy-8B-v2
    parameters:
      weight: 0.03
  - layer_range: [0, 32]
    model: grimjim/llama-3-aaditya-OpenBioLLM-8B
    parameters:
      weight: 0.1

```