---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Solshine/reflection-llama-3.1-8B
- Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated
model-index:
- name: Llama-3-1-big-thoughtful-passthrough-merge-2
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 25.47
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 5.01
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 0.15
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 1.23
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 6.75
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 2.06
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
      name: Open LLM Leaderboard
---
# State of the art for size on Open LLM Leaderboard on acc_norm score

SOTA at size level as of acc_norm score on 9/30/2024, viewable at open-llm-leaderboard/Solshine__Llama-3-1-big-thoughtful-passthrough-merge-2-details

acc_norm of 31.5% according to open llm leaderboard test result dataset.

# 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 passthrough merge method.

### Models Merged

The following models were included in the merge:
* [Solshine/reflection-llama-3.1-8B](https://huggingface.co/Solshine/reflection-llama-3.1-8B)
* [Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder](https://huggingface.co/Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder)
* [mlabonne/Hermes-3-Llama-3.1-8B-lorablated](https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-8B-lorablated)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
- sources:
  - layer_range: [0, 16]
    model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated
- sources:
  - layer_range: [4, 20]
    model: Solshine/reflection-llama-3.1-8B
- sources:
  - layer_range: [8, 24]
    model: Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder
- sources:
  - layer_range: [12, 28]
    model: Solshine/reflection-llama-3.1-8B
- sources:
  - layer_range: [16, 32]
    model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated
merge_method: passthrough
dtype: float16
```