The Mayonnaise
Collection
A collection of 7B models made with mergekit.
•
6 items
•
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 |
- Downloads last month
- 81
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for kaitchup/Mayonnaise-4in1-01
Spaces using kaitchup/Mayonnaise-4in1-01 5
Collection including kaitchup/Mayonnaise-4in1-01
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