---
tags:
- uncencored
- llama-3
- tess
- lumimaid
- Lumi-tess
---
Lumi-tess

This model was created with the goal for a good llama 3 uncencored model with long context.
At it worked like a charm.

Did a merge with breadcrumbs_ties method.
Instruct gradient, Lumimaid and Tess.

Uses llama 3 context

Sampler wise it has a very wide optimal so works with lots of different settings.

Thanks to the people who train the custom models:
Undi
IkariDev
For Lumimaid.

Migel Tissera
for Tess


base_model: []
library_name: transformers
tags:
- mergekit
- merge

---
# model

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 breadcrumbs_ties merge method using I:\Llama-3-70B-Instruct-Gradient-262k as a base.

### Models Merged

The following models were included in the merge:
* E:\Llama-3-Lumimaid-70B-v0.1-OAS
* I:\Tess-2.0-Llama-3-70B-v0.2

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: I:\Llama-3-70B-Instruct-Gradient-262k
    parameters:
      weight: 0.20
      density: 0.90
      gamma: 0.01
  - model: I:\Tess-2.0-Llama-3-70B-v0.2
    parameters:
      weight: 0.20
      density: 0.90
      gamma: 0.01
  - model: E:\Llama-3-Lumimaid-70B-v0.1-OAS
    parameters:
      weight: 0.60
      density: 0.90
      gamma: 0.01
merge_method: breadcrumbs_ties
base_model: I:\Llama-3-70B-Instruct-Gradient-262k
dtype: bfloat16
```

My followup model, that improves in all aspects can be found at: https://huggingface.co/ryzen88/Llama-3-70b-Arimas-story-RP-V1.6