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---
base_model:
- huihui-ai/Llama-3.1-Tulu-3-70B-abliterated
- migtissera/Tess-3-Llama-3.1-70B
- Nexesenex/Llama_3.x_70b_L3.3_Dolphin_128K_v1.02
- huihui-ai/Tess-R1-Limerick-Llama-3.1-70B-abliterated
- mlabonne/Hermes-3-Llama-3.1-70B-lorablated
- nbeerbower/Llama-3.1-Nemotron-lorablated-70B
library_name: transformers
tags:
- mergekit
- merge
---
# about
Original name : Llama_3.x_70b_Dolnemhertulimtess_v1.0
Also known as : Llama_3.x_70b_Dolmen_v1.0 (1.1 will come soon)
This model is essentially a Llama 3.1 smart brick based on by a 3.0->3.3 "port", to be used in second level merges.
This time, for the base, I used a Llama 3.0 Dolphin 2.9.1/Llama 3.3 instruct abliterated merge, in order to get both the capabilities of each model, and notably Dolphin, not ported on Llama 70b 3.1 or 3.3 by CognitiveComputations.
Then, I added the best 'instructions oriented' finetunes I know, simple as that.
The model is highly uncensored, quite intelligent, and can be used as a standalone.
---
# merge
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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Nexesenex/Llama_3.x_70b_L3.3_Dolphin_128K_v1.02](https://huggingface.co/Nexesenex/Llama_3.x_70b_L3.3_Dolphin_128K_v1.02) as a base.
### Models Merged
The following models were included in the merge:
* [huihui-ai/Llama-3.1-Tulu-3-70B-abliterated](https://huggingface.co/huihui-ai/Llama-3.1-Tulu-3-70B-abliterated)
* [migtissera/Tess-3-Llama-3.1-70B](https://huggingface.co/migtissera/Tess-3-Llama-3.1-70B)
* [huihui-ai/Tess-R1-Limerick-Llama-3.1-70B-abliterated](https://huggingface.co/huihui-ai/Tess-R1-Limerick-Llama-3.1-70B-abliterated)
* [mlabonne/Hermes-3-Llama-3.1-70B-lorablated](https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-70B-lorablated)
* [nbeerbower/Llama-3.1-Nemotron-lorablated-70B](https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: model_stock
models:
- model: Nexesenex/Llama_3.x_70b_L3.3_Dolphin_128K_v1.02
parameters:
weight: 1.0
- model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
weight: 1.0
- model: mlabonne/Hermes-3-Llama-3.1-70B-lorablated
parameters:
weight: 1.0
- model: huihui-ai/Llama-3.1-Tulu-3-70B-abliterated
parameters:
weight: 1.0
- model: huihui-ai/Tess-R1-Limerick-Llama-3.1-70B-abliterated
parameters:
weight: 1.0
- model: migtissera/Tess-3-Llama-3.1-70B
parameters:
weight: 1.0
base_model: Nexesenex/Llama_3.x_70b_L3.3_Dolphin_128K_v1.02
dtype: bfloat16
out_dtype: bfloat16
parameters:
int8_mask: true
normalize: true
rescale: false
filter_wise: false
smooth: false
allow_negative_weights: false
chat_template: auto
tokenizer:
source: union
```