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jan-hq/supermario-v1
supermario-v1 is a text generation model from jan-hq. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
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From the Hugging Face model README
This model uses the DARE_TIES merge method.
NOTE: Due to the mismatch of architecture between Llama and Mistral, Magicoder-S-CL-7B layers will be skipped
base_model: mistralai/Mistral-7B-v0.1
dtype: bfloat16
merge_method: dare_ties
models:
- model: mistralai/Mistral-7B-v0.1
- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
parameters:
density: 0.8
weight: 0.3
- model: Q-bert/MetaMath-Cybertron-Starling
parameters:
density: 0.8
weight: 0.3
- model: ise-uiuc/Magicoder-S-CL-7B
parameters:
density: 0.6
weight: 0.2
- model: AIDC-ai-business/Marcoroni-7B-v3
parameters:
density: 0.6
weight: 0.2
parameters:
int8_mask: true
You can run this model using Jan Desktop on Mac, Windows, or Linux.
Jan is an open source, ChatGPT alternative that is:
1337 with OpenAI compatible endpoints
Jan believes in the need for an open-source AI ecosystem and is building the infra and tooling to allow open-source AIs to compete on a level playing field with proprietary ones.
Jan's long-term vision is to build a cognitive framework for future robots, who are practical, useful assistants for humans and businesses in everyday life.
This is a test project for merging models.
Detailed results can be found here.
| Metric | Value |
|---|---|
| Avg. | ? |
| ARC (25-shot) | ? |
| HellaSwag (10-shot) | ? |
| MMLU (5-shot) | ? |
| TruthfulQA (0-shot) | ? |
| Winogrande (5-shot) | ? |
| GSM8K (5-shot) | ? |
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.49 |
| AI2 Reasoning Challenge (25-Shot) | 27.73 |
| HellaSwag (10-Shot) | 25.83 |
| MMLU (5-Shot) | 27.04 |
| TruthfulQA (0-shot) | 47.27 |
| Winogrande (5-shot) | 49.09 |
| GSM8k (5-shot) | 0.00 |