---
license: other
library_name: transformers
tags:
- mergekit
- merge
base_model:
- mlabonne/ChimeraLlama-3-8B-v2
- grimjim/llama-3-merge-pp-instruct-8B
- grimjim/llama-3-merge-virt-req-8B
- uygarkurt/llama-3-merged-linear
- jeiku/Orthocopter_8B
- grimjim/llama-3-nvidia-ChatQA-1.5-8B
- openlynn/Llama-3-Soliloquy-8B-v2
- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
- nbeerbower/llama-3-stella-8B
- cloudyu/Meta-Llama-3-8B-Instruct-DPO
- NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- flammenai/Mahou-1.0-llama3-8B
- flammenai/Mahou-1.1-llama3-8B
license_name: llama3
model-index:
- name: llama-3-stinky-v2-8B
  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: 66.98
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
      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: 83.2
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
      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: 68.33
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
      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: 55.83
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
      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: 77.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
      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: 69.75
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
      name: Open LLM Leaderboard
---
# llama-3-stinky-v2-8B

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 [flammenai/Mahou-1.1-llama3-8B](https://huggingface.co/flammenai/Mahou-1.1-llama3-8B) as a base.

### Models Merged

The following models were included in the merge:
* [mlabonne/ChimeraLlama-3-8B-v2](https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v2)
* [grimjim/llama-3-merge-pp-instruct-8B](https://huggingface.co/grimjim/llama-3-merge-pp-instruct-8B)
* [grimjim/llama-3-merge-virt-req-8B](https://huggingface.co/grimjim/llama-3-merge-virt-req-8B)
* [uygarkurt/llama-3-merged-linear](https://huggingface.co/uygarkurt/llama-3-merged-linear)
* [jeiku/Orthocopter_8B](https://huggingface.co/jeiku/Orthocopter_8B)
* [grimjim/llama-3-nvidia-ChatQA-1.5-8B](https://huggingface.co/grimjim/llama-3-nvidia-ChatQA-1.5-8B)
* [openlynn/Llama-3-Soliloquy-8B-v2](https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2)
* [VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct)
* [nbeerbower/llama-3-stella-8B](https://huggingface.co/nbeerbower/llama-3-stella-8B)
* [cloudyu/Meta-Llama-3-8B-Instruct-DPO](https://huggingface.co/cloudyu/Meta-Llama-3-8B-Instruct-DPO)
* [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS)
* [flammenai/Mahou-1.0-llama3-8B](https://huggingface.co/flammenai/Mahou-1.0-llama3-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: mlabonne/ChimeraLlama-3-8B-v2
  - model: cloudyu/Meta-Llama-3-8B-Instruct-DPO
  - model: nbeerbower/llama-3-stella-8B
  - model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
  - model: uygarkurt/llama-3-merged-linear
  - model: openlynn/Llama-3-Soliloquy-8B-v2
  - model: grimjim/llama-3-merge-pp-instruct-8B
  - model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
  - model: grimjim/llama-3-merge-virt-req-8B
  - model: jeiku/Orthocopter_8B
  - model: grimjim/llama-3-nvidia-ChatQA-1.5-8B
  - model: flammenai/Mahou-1.0-llama3-8B
merge_method: model_stock
base_model: flammenai/Mahou-1.1-llama3-8B
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-stinky-v2-8B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |70.27|
|AI2 Reasoning Challenge (25-Shot)|66.98|
|HellaSwag (10-Shot)              |83.20|
|MMLU (5-Shot)                    |68.33|
|TruthfulQA (0-shot)              |55.83|
|Winogrande (5-shot)              |77.51|
|GSM8k (5-shot)                   |69.75|