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Adding Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

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  1. README.md +14 -1
README.md CHANGED
@@ -14,4 +14,17 @@ model_name = "circulus/Llama-2-13b-orca-v1"
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  tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)
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  config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_compute_dtype=torch.bfloat16, bnb_4bit_use_double_quant=True)
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  model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", quantization_config=config)
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)
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  config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_compute_dtype=torch.bfloat16, bnb_4bit_use_double_quant=True)
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  model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", quantization_config=config)
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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_circulus__Llama-2-13b-orca-v1)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 51.99 |
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+ | ARC (25-shot) | 62.2 |
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+ | HellaSwag (10-shot) | 82.32 |
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+ | MMLU (5-shot) | 57.67 |
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+ | TruthfulQA (0-shot) | 49.6 |
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+ | Winogrande (5-shot) | 76.8 |
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+ | GSM8K (5-shot) | 12.89 |
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+ | DROP (3-shot) | 22.47 |