---
license: llama3
library_name: transformers
tags:
- mergekit
- merge
base_model:
- nbeerbower/llama-3-spicy-8B
- nbeerbower/llama-3-stella-8B
- saishf/Aura-Uncensored-OAS-8B-L3
- cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2
model-index:
- name: llama-3-spicy-abliterated-stella-8B
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 65.19
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 81.98
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 67.88
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 53.65
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 76.48
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 70.43
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
---
# llama-3-spicy-abliterated-stella-8B

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 [nbeerbower/llama-3-spicy-8B](https://huggingface.co/nbeerbower/llama-3-spicy-8B) as a base.

### Models Merged

The following models were included in the merge:
* [nbeerbower/llama-3-stella-8B](https://huggingface.co/nbeerbower/llama-3-stella-8B)
* [saishf/Aura-Uncensored-OAS-8B-L3](https://huggingface.co/saishf/Aura-Uncensored-OAS-8B-L3)
* [cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2](https://huggingface.co/cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
    - model: nbeerbower/llama-3-stella-8B
    - model: saishf/Aura-Uncensored-OAS-8B-L3
    - model: cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2
merge_method: model_stock
base_model: nbeerbower/llama-3-spicy-8B
dtype: bfloat16


```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_nbeerbower__llama-3-spicy-abliterated-stella-8B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |69.27|
|AI2 Reasoning Challenge (25-Shot)|65.19|
|HellaSwag (10-Shot)              |81.98|
|MMLU (5-Shot)                    |67.88|
|TruthfulQA (0-shot)              |53.65|
|Winogrande (5-shot)              |76.48|
|GSM8k (5-shot)                   |70.43|