---
base_model:
- huihui-ai/Llama-3.3-70B-Instruct-abliterated
- huihui-ai/Llama-3.1-Nemotron-70B-Instruct-HF-abliterated
- TheDrummer/Fallen-Llama-3.3-R1-70B-v1
- huihui-ai/Llama-3.1-Tulu-3-70B-abliterated
- Nexesenex/Llama_3.3_70b_DarkHorse
- hitachi-nlp/Llama-3.1-70B-FLDx2
library_name: transformers
tags:
- mergekit
- merge

---
# about

Smatricks_v1.30_flat + DarkHorse for a darker colloration.

I started to use it, and I'm satisfied.
- In the line of the Smartricks v1.30 flat, its prose is quite different of what I usually observe in my merges based on a smart merge.
- The addition of DarkHorse brings more creativity without damaging much the smarts.
- I continue to think that 2 levels of merges is quite optimal for a final model when using merge_stock. Beyond, it becomes more "soupy".

---
# benchs

IK_LLama.CPP Benchs in IQ6_K:
- PPL-512 WikiEng Text 564 : 3.40
- ARC-C 299 : 59.87
- ARC-E 570 : 81.23
- Hellaswag 200 : 86.5
- Winogrande 1263 : 81.92
- MMLU : 46.90

MMLU results are much lower than they should be on LlamaCPP. This is a constant quirk since 2024.

---
# 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 [huihui-ai/Llama-3.3-70B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.3-70B-Instruct-abliterated) as a base.

### Models Merged

The following models were included in the merge:
* [huihui-ai/Llama-3.1-Nemotron-70B-Instruct-HF-abliterated](https://huggingface.co/huihui-ai/Llama-3.1-Nemotron-70B-Instruct-HF-abliterated)
* [TheDrummer/Fallen-Llama-3.3-R1-70B-v1](https://huggingface.co/TheDrummer/Fallen-Llama-3.3-R1-70B-v1)
* [huihui-ai/Llama-3.1-Tulu-3-70B-abliterated](https://huggingface.co/huihui-ai/Llama-3.1-Tulu-3-70B-abliterated)
* [Nexesenex/Llama_3.3_70b_DarkHorse](https://huggingface.co/Nexesenex/Llama_3.3_70b_DarkHorse)
* [hitachi-nlp/Llama-3.1-70B-FLDx2](https://huggingface.co/hitachi-nlp/Llama-3.1-70B-FLDx2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: model_stock
models:
  - model: TheDrummer/Fallen-Llama-3.3-R1-70B-v1
    parameters:
      weight: 1.0
  - model: Nexesenex/Llama_3.3_70b_DarkHorse
    parameters:
      weight: 1.0
  - model: huihui-ai/Llama-3.1-Nemotron-70B-Instruct-HF-abliterated
    parameters:
      weight: 1.0
  - model: huihui-ai/Llama-3.1-Tulu-3-70B-abliterated
    parameters:
      weight: 1.0
  - model: hitachi-nlp/Llama-3.1-70B-FLDx2
    parameters:
      weight: 1.0
base_model: huihui-ai/Llama-3.3-70B-Instruct-abliterated
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
```