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Model: mlabonne/Daredevil-7B Source: Original Platform
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README.md
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README.md
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---
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license: cc-by-nc-4.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- samir-fama/SamirGPT-v1
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- abacusai/Slerp-CM-mist-dpo
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- EmbeddedLLM/Mistral-7B-Merge-14-v0.2
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base_model:
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- mistralai/Mistral-7B-v0.1
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- samir-fama/SamirGPT-v1
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- abacusai/Slerp-CM-mist-dpo
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- EmbeddedLLM/Mistral-7B-Merge-14-v0.2
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model-index:
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- name: Daredevil-7B
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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: 69.37
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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=mlabonne/Daredevil-7B
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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: 87.17
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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=mlabonne/Daredevil-7B
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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: 65.3
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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=mlabonne/Daredevil-7B
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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: 64.09
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-7B
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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: 81.29
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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=mlabonne/Daredevil-7B
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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: 72.93
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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=mlabonne/Daredevil-7B
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name: Open LLM Leaderboard
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---
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# Daredevil-7B
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Daredevil-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [samir-fama/SamirGPT-v1](https://huggingface.co/samir-fama/SamirGPT-v1)
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* [abacusai/Slerp-CM-mist-dpo](https://huggingface.co/abacusai/Slerp-CM-mist-dpo)
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* [EmbeddedLLM/Mistral-7B-Merge-14-v0.2](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.2)
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## 🏆 Evaluation
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### Open LLM Leaderboard
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TBD.
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### Nous
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| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
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|------------------------------------------------------------|------:|------:|---------:|-------:|------:|
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|[**Daredevil-7B**](https://huggingface.co/shadowml/Daredevil-7B)| **44.85**| **76.07**| <u>**64.89**</u>| **47.07**| <u>**58.22**</u>|
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|[OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)| 42.75| 72.99| 52.99| 40.94| 52.42|
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|[NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)| 43.67| 73.24| 55.37| 41.76| 53.51|
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|[Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B)| <u>47.79</u>| 74.69| 55.92| 44.84| 55.81|
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|[Marcoro14-7B-slerp](https://huggingface.co/mlabonne/Marcoro14-7B-slerp) | 44.66| <u>76.24</u>| 64.15| 45.64| 57.67|
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|[CatMarcoro14-7B-slerp](https://huggingface.co/occultml/CatMarcoro14-7B-slerp)| 45.21| 75.91| 63.81| <u>47.31</u>| 58.06|
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See the complete evaluation [here](https://gist.github.com/mlabonne/cd03d60f7428450a87ca270b5c467324).
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## 🧩 Configuration
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```yaml
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models:
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- model: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: samir-fama/SamirGPT-v1
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parameters:
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density: 0.53
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weight: 0.4
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- model: abacusai/Slerp-CM-mist-dpo
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parameters:
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density: 0.53
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weight: 0.3
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- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2
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parameters:
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density: 0.53
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weight: 0.3
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merge_method: dare_ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "shadowml/Daredevil-7B"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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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_mlabonne__Daredevil-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |73.36|
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|AI2 Reasoning Challenge (25-Shot)|69.37|
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|HellaSwag (10-Shot) |87.17|
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|MMLU (5-Shot) |65.30|
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|TruthfulQA (0-shot) |64.09|
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|Winogrande (5-shot) |81.29|
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|GSM8k (5-shot) |72.93|
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