README.md

---
language:
- en
license: mit
tags:
- merge
- slerp
datasets:
- Open-Orca/OpenOrca
- conceptofmind/cot_submix_original
- conceptofmind/t0_submix_original
- conceptofmind/niv2_submix_original
- conceptofmind/flan2021_submix_original
- ehartford/dolphin
metrics:
- accuracy
- bleu
inference: false
model-index:
- name: Dorflan
  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: 54.44
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=formulae/Dorflan
      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: 75.78
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=formulae/Dorflan
      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: 51.36
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=formulae/Dorflan
      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: 51.17
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=formulae/Dorflan
      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: 72.61
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=formulae/Dorflan
      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: 0.38
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=formulae/Dorflan
      name: Open LLM Leaderboard
---
<h1 style="text-align: center">Dorflan</h1>
<h2 style="text-align: center">An experimental model</h2>
<hr>


|   Model      |  Average ⬆️  |   ARC   | HellaSwag |   MMLU  | TruthfulQA |
|:------------:|:------------:|:-------:|:---------:|:-------:|:----------:|
| formulae/Dorflan 📑 |    58.19     |   54.44   |   75.78   |   51.36   |    51.17   |



## Model Details
Dorflan is an experimental merged model created from the following three foundation models:

- stabilityai/StableBeluga-7B
- ehartford/dolphin-llama2-7b  
- AIDC-ai-business/Marcoroni-7B

Dorflan was created by merging the weights and architectures of these three models using a custom merging technique. No further fine-tuning was performed after the merge.

Once the model obtains it's evaluation scores, then we'll know if it works or not.

## Intended Use
As an experimental model, Dorflan is intended for testing and research purposes only. It should not be used for production systems or to generate content for public use.

## Training Data
Dorflan inherits training data from its three foundation models:

- StableBeluga-7B: COT, Niv2, t0, & FLAN2021
- dolphin-llama2-7b: Dolphin
- Marcoroni-7B: OpenOrca

## Limitations
As an untested merged model, Dorflan has unknown capabilities and limitations. Potential issues include:

- Instability due to merged architectures
- Compounded bias and issues from all three foundation models
- Decreased performance on some tasks compared to the foundation models

Extensive testing is required to characterize Dorflan's capabilities and limitations.

## Ethical Considerations
- Dorflan may exhibit harmful biases inherited from its training data
- Output may be unreliable or manipulated due to instability
- Experimental nature increases potential for misuse

Use this model ethically and do not deploy it for sensitive applications.

## Contact Information
Please report issues or concerns with this model to the creator for further investigation.
# [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_formulae__Dorflan)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 47.44   |
| ARC (25-shot)         | 54.44          |
| HellaSwag (10-shot)   | 75.78    |
| MMLU (5-shot)         | 51.36         |
| TruthfulQA (0-shot)   | 51.17   |
| Winogrande (5-shot)   | 72.61   |
| GSM8K (5-shot)        | 0.38        |
| DROP (3-shot)         | 26.37         |

# [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_formulae__Dorflan)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |50.96|
|AI2 Reasoning Challenge (25-Shot)|54.44|
|HellaSwag (10-Shot)              |75.78|
|MMLU (5-Shot)                    |51.36|
|TruthfulQA (0-shot)              |51.17|
|Winogrande (5-shot)              |72.61|
|GSM8k (5-shot)                   | 0.38|