--- language: - en license: cc-by-nc-4.0 library_name: transformers metrics: - accuracy model-index: - name: 0ai-7B-v5 results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 73.46 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0ai/0ai-7B-v5 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 89.38 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0ai/0ai-7B-v5 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 64.19 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0ai/0ai-7B-v5 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 79.86 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0ai/0ai-7B-v5 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 85.48 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0ai/0ai-7B-v5 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 66.49 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=0ai/0ai-7B-v5 name: Open LLM Leaderboard --- # Model Evaluation The model now ranks number 3 for hellaSwag benchmark and number 1 for TruthfulQA benchmark on **Open llm leaderboard**! Expect More High Quality Models Soon! # Experimental Model Warning This model is an experimental prototype and should not be considered production-ready. Reasons for Experimental Status Potential for Bias: Due to the experimental nature of the model, it may exhibit biases in its output, which could lead to incorrect or unfair results. **this is not the instruct/chat version!** ### Precautions to Take **Use with Caution**: Be aware that the model's output may contain factual inaccuracies or biases. **Verify Output**: Always verify the model's output with other sources to ensure its accuracy. **Report Issues**: If you encounter any issues or biases in the model's output, please report them so that they can be addressed in future updates. **Avoid Sensitive Applications**: Do not use the model for applications where accuracy and reliability are critical, such as medical or financial decision-making. By understanding the experimental nature of this model and taking the necessary precautions, you can help ensure that it is used responsibly and effectively **License**: This model is strictly non-commercial (cc-by-nc-4.0) use only. The "Model" is completely free (ie. base model, derivates, merges/mixes) to use for non-commercial purposes as long as the the included cc-by-nc-4.0 license in any parent repository, and the non-commercial use statute remains, regardless of other models' licences. The licence can be changed after new model released. If you are to use this model for commercial purpose, Contact me. **Disclaimer**: By Downloading And/Or using the model, you fully agree to the license (**cc-by-nc-4.0**) and its commercial-use restrictions. # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_0ai__0ai-7B-v5) | Metric |Value| |---------------------------------|----:| |Avg. |76.48| |AI2 Reasoning Challenge (25-Shot)|73.46| |HellaSwag (10-Shot) |89.38| |MMLU (5-Shot) |64.19| |TruthfulQA (0-shot) |79.86| |Winogrande (5-shot) |85.48| |GSM8k (5-shot) |66.49|