Supermario
Collection
This is a test project for new merging methods (DARE, TIES, SLERP).
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5 items
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Updated
Model Description
This model uses the Slerp merge method from 2 models:
- base model: v1olet_marcoroni-go-bruins-merge-7B
The yaml config file for this model is here:
slices:
- sources:
- model: v1olet/v1olet_marcoroni-go-bruins-merge-7B
layer_range: [0, 32]
- model: fblgit/juanako-7b-UNA
layer_range: [0, 32]
merge_method: slerp
base_model: v1olet/v1olet_marcoroni-go-bruins-merge-7B
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
Run this model
You can run this model using Jan Desktop on Mac, Windows, or Linux.
Jan is an open source, ChatGPT alternative that is:
- 💻 100% offline on your machine: Your conversations remain confidential, and visible only to you.
- 🗂️ An Open File Format: Conversations and model settings stay on your computer and can be exported or deleted at any time.
- 🌐 OpenAI Compatible: Local server on port
1337with OpenAI compatible endpoints - 🌍 Open Source & Free: We build in public; check out our Github
About Jan
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.
Jan Model Merger
This is a test project for merging models.
Open LLM Leaderboard Evaluation Results
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) | ? |
Acknowlegement
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 71.35 |
| AI2 Reasoning Challenge (25-Shot) | 69.37 |
| HellaSwag (10-Shot) | 86.60 |
| MMLU (5-Shot) | 64.91 |
| TruthfulQA (0-shot) | 62.96 |
| Winogrande (5-shot) | 80.82 |
| GSM8k (5-shot) | 63.46 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard69.370
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.600
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.910
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard62.960
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard80.820
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard63.460