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

NewstaR
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Storcel-7b