README.md

metadata

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

Dorflan

An experimental model

---

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

Detailed results can be found here

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

Detailed results can be found here

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