Macaroni 7b Tied
Merge Details
Merge Method
This model was merged using the TIES merge method using mistralai/Mistral-7B-v0.1 as a base.
Models Merged
The following models were included in the merge:
- decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
- mlabonne/NeuralMarcoro14-7B
- fblgit/UNA-TheBeagle-7b-v1
- SanjiWatsuki/Lelantos-DPO-7B
Disclaimer
The users of this model (hereinafter referred to as "the Model") should be aware of the following points prior to using the Model:
Factual Inaccuracy: The Model has been trained on a diverse set of data sources. However, it may occasionally generate outputs that contain factual inaccuracies. Users are advised to verify the factual correctness of the information provided by the Model, especially when using it for critical applications.
Potential Biases: Despite efforts to ensure fairness and neutrality, the Model may still exhibit biases inherent in the training data. These biases do not reflect the views or intentions of the developers. Users should be cautious of these potential biases, especially when using the Model in contexts where fairness and impartiality are crucial.
Hallucination: The Model might generate content that is not grounded in reality, commonly referred to as "hallucinations." This is a known limitation of language models and should be considered when interpreting the Model's outputs.
Inappropriate Content: While measures have been taken to minimize the risk, the Model might still generate content that could be deemed offensive, inappropriate, or not suitable for all audiences. We advise users to exercise discretion and consider the context of use.
- Use at Your Own Risk: The Model is provided "as is," and the developers make no representations or warranties of any kind concerning the Model's performance or suitability for any particular purpose. The user assumes full responsibility and risk of loss resulting from using the Model.
By using the Model, users acknowledge and agree to the terms stated in this disclaimer. This disclaimer is subject to change without notice, and the latest version can be found on the Model's Hugging Face page.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 74.96 |
| AI2 Reasoning Challenge (25-Shot) | 72.87 |
| HellaSwag (10-Shot) | 88.14 |
| MMLU (5-Shot) | 64.73 |
| TruthfulQA (0-shot) | 70.54 |
| Winogrande (5-shot) | 81.93 |
| GSM8k (5-shot) | 71.57 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard72.870
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.140
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.730
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard70.540
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard81.930
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard71.570