kaitchup/TheMayonnaise
TheMayonnaise is a 7 billion parameter causal language model developed by The Kaitchup, created using a TIES-merging mixture of experts approach based on Mistral-7B-v0.1. This model is optimized for general reasoning and language understanding, achieving an average score of 74.94 on the Open LLM Leaderboard. It is designed for English language tasks and offers a context length of 8192 tokens.
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Overview
TheMayonnaise is a 7 billion parameter causal language model developed by The Kaitchup. It is an English-language model built upon mistralai/Mistral-7B-v0.1 using a TIES-merging mixture of experts (MoE) approach. This model's creation process is detailed in an article titled "The Mayonnaise: Rank First on the Open LLM Leaderboard with TIES-Merging."
Key Capabilities & Performance
The model demonstrates strong performance across various benchmarks, as evaluated on the Open LLM Leaderboard:
- Average Score: 74.94
- AI2 Reasoning Challenge (25-Shot): 73.46
- HellaSwag (10-Shot): 88.46
- MMLU (5-Shot): 64.88
- TruthfulQA (0-shot): 69.19
- Winogrande (5-shot): 84.29
- GSM8k (5-shot): 69.37
Unique Aspects
This model stands out due to its creation method, utilizing mergekit with a TIES-merging strategy. It combines mncai/mistral-7b-dpo-v5, kaitchup/Mayonnaise-4in1-02, and BarryFutureman/NeuralTurdusVariant1-7B to achieve its performance. The model operates under an Apache 2.0 License.
Use Cases
Given its general-purpose nature and strong benchmark results, TheMayonnaise is suitable for a wide range of English NLP tasks requiring reasoning, common sense, and language understanding.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.