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--- |
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language: |
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- en |
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license: apache-2.0 |
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model-index: |
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- name: supermario-v2 |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 68.52 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 86.51 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 64.88 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 60.58 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 81.37 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 72.18 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 |
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name: Open LLM Leaderboard |
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--- |
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<!-- header start --> |
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<!-- 200823 --> |
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<div style="width: auto; margin-left: auto; margin-right: auto"> |
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<img src="https://github.com/janhq/jan/assets/89722390/35daac7d-b895-487c-a6ac-6663daaad78e" alt="Jan banner" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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<p align="center"> |
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<a href="https://jan.ai/">Jan</a> |
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- <a href="https://discord.gg/AsJ8krTT3N">Discord</a> |
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</p> |
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<!-- header end --> |
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|
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# Model Description |
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This model uses the `DARE_TIES` merge method from 3 models: |
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1. [OpenHermes-2.5-neural-chat-v3-3-Slerp](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp) |
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2. [MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling) |
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3. [Marcoroni-7B-v3](https://huggingface.co/AIDC-ai-business/Marcoroni-7B-v3) |
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- base model: [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) |
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The yaml config file for this model here: |
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```yaml |
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base_model: mistralai/Mistral-7B-v0.1 |
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dtype: bfloat16 |
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merge_method: dare_ties |
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models: |
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- model: mistralai/Mistral-7B-v0.1 |
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- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp |
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parameters: |
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density: 0.8 |
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weight: 0.4 |
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- model: Q-bert/MetaMath-Cybertron-Starling |
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parameters: |
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density: 0.8 |
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weight: 0.3 |
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- model: AIDC-ai-business/Marcoroni-7B-v3 |
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parameters: |
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density: 0.8 |
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weight: 0.3 |
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parameters: |
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int8_mask: true |
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``` |
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|
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# Prompt template: |
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- **ChatML** |
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|
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``` |
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<|im_start|>system |
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{system_message}<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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- **System** |
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``` |
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### System: |
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{system} |
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### User: |
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{user} |
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### Assistant: |
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``` |
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|
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# Run this model |
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You can run this model using [Jan Desktop](https://jan.ai/) on Mac, Windows, or Linux. |
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Jan is an open source, ChatGPT alternative that is: |
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|
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- 💻 **100% offline on your machine**: Your conversations remain confidential, and visible only to you. |
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- 🗂️ **An Open File Format**: Conversations and model settings stay on your computer and can be exported or deleted at any time. |
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- 🌐 **OpenAI Compatible**: Local server on port `1337` with OpenAI compatible endpoints |
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- 🌍 **Open Source & Free**: We build in public; check out our [Github](https://github.com/janhq) |
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 |
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|
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# About Jan |
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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. |
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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. |
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|
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# Jan Model Merger |
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This is a test project for merging models. |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-v2). |
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|
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 72.36| |
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| ARC (25-shot) | 68.52 | |
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| HellaSwag (10-shot) | 86.51 | |
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| MMLU (5-shot) | 64.88| |
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| TruthfulQA (0-shot) | 60.58 | |
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| Winogrande (5-shot) | 81.37 | |
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| GSM8K (5-shot) | 72.18 | |
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# Acknowlegement |
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- [mergekit](https://github.com/cg123/mergekit) |
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- [DARE](https://github.com/yule-BUAA/MergeLM/blob/main/README.md) |
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- [lm-evaluation-harness |
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](https://github.com/EleutherAI/lm-evaluation-harness) |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-v2) |
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|
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |72.34| |
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|AI2 Reasoning Challenge (25-Shot)|68.52| |
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|HellaSwag (10-Shot) |86.51| |
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|MMLU (5-Shot) |64.88| |
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|TruthfulQA (0-shot) |60.58| |
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|Winogrande (5-shot) |81.37| |
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|GSM8k (5-shot) |72.18| |
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