---
base_model:
- Replete-AI/Replete-Coder-Llama3-8B
- Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
library_name: transformers
tags:
- mergekit
- merge
license: llama3
language:
- en
---
# Llama-3-Umbral-Mind-Replete-8B

Copied the merge script from [tannedbum/L3-Nymeria-8B](https://huggingface.co/tannedbum/L3-Nymeria-8B) and made it use [Replete-AI/Replete-Coder-Llama3-8B](https://huggingface.co/Replete-AI/Replete-Coder-Llama3-8B) with [Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B) as the base model instead.

It appears to talk a lot for some reason, regardless what is instructed.

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

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [Replete-AI/Replete-Coder-Llama3-8B](https://huggingface.co/Replete-AI/Replete-Coder-Llama3-8B)
* [Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

slices:
  - sources:
      - model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
        layer_range: [0, 32]
      - model: Replete-AI/Replete-Coder-Llama3-8B
        layer_range: [0, 32]
merge_method: slerp
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
parameters:
  t:
    - filter: self_attn
      value: [0.4, 0.5, 0.6, 0.4, 0.6]
    - filter: mlp
      value: [0.6, 0.5, 0.4, 0.6, 0.4]
    - value: 0.5
dtype: bfloat16

```