README.md

---
license: llama3
library_name: transformers
tags:
- mergekit
- merge
base_model:
- princeton-nlp/Llama-3-Instruct-8B-SimPO
- UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
pipeline_tag: text-generation
model-index:
- name: Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
  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: 42.71
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
      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: 28.26
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
      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: 9.37
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
      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: 5.37
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
      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: 9.54
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
      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: 29.17
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
      name: Open LLM Leaderboard
---
# Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

Built with Meta Llama 3.

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [princeton-nlp/Llama-3-Instruct-8B-SimPO](https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-SimPO)
* [UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
- sources:
  - model: princeton-nlp/Llama-3-Instruct-8B-SimPO
    layer_range:
    - 0
    - 32
  - model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
    layer_range:
    - 0
    - 32
merge_method: slerp
base_model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
parameters:
  t:
  - filter: self_attn
    value:
    - 0
    - 0.5
    - 0.3
    - 0.7
    - 1
  - filter: mlp
    value:
    - 1
    - 0.5
    - 0.7
    - 0.3
    - 0
  - value: 0.5
dtype: bfloat16

```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_grimjim__Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |20.74|
|IFEval (0-Shot)    |42.71|
|BBH (3-Shot)       |28.26|
|MATH Lvl 5 (4-Shot)| 9.37|
|GPQA (0-shot)      | 5.37|
|MuSR (0-shot)      | 9.54|
|MMLU-PRO (5-shot)  |29.17|