The Mayonnaise
Collection
A collection of 7B models made with mergekit.
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6 items
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Updated
Model Card for Model ID
This is a mixture of experts created with mergekit and based on mistralai/Mistral-7B-v0.1.
Model Details
The model was created using a recipe detailed in this article: The Mayonnaise: Rank First on the Open LLM Leaderboard with TIES-Merging
Model Description
- Developed by: The Kaitchup
- Model type: Causal
- Language(s) (NLP): English
- License: Apache 2.0
Model Sources
Created with mergekit with this configuration:
models:
- model: mncai/mistral-7b-dpo-v5
# no parameters necessary for base model
- model: flemmingmiguel/MBX-7B
parameters:
density: 0.5
weight: 0.5
- model: BarryFutureman/NeuralTurdusVariant1-7B
parameters:
density: 0.5
weight: 0.3
merge_method: ties
base_model: mncai/mistral-7b-dpo-v5
parameters:
normalize: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 75.19 |
| AI2 Reasoning Challenge (25-Shot) | 73.46 |
| HellaSwag (10-Shot) | 88.47 |
| MMLU (5-Shot) | 64.95 |
| TruthfulQA (0-shot) | 69.18 |
| Winogrande (5-shot) | 84.14 |
| GSM8k (5-shot) | 70.96 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard73.460
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.470
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.950
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard69.180
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard84.140
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard70.960