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--- |
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language: |
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- fr |
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- en |
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license: creativeml-openrail-m |
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tags: |
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- chatml |
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model-index: |
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- name: EnnoAi-Pro-Llama-3-8B |
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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: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 31.95 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B |
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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: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 17.51 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B |
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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: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 0.15 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B |
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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: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 1.57 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B |
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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: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 9.08 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B |
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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-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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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: 12.79 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B |
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name: Open LLM Leaderboard |
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--- |
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# French Pro model |
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This version aims to be a multilingual model (EN ๐บ๐ธ + FR ๐ซ๐ท) to refine the specific professional tasks in French. |
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# Dataset |
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EnnoAi-Pro has been trained on a French dataset to enhance its analysis and response quality. |
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The dataset contains ~275K high-quality training samples of professional and general strategic themes. |
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# Tuning |
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We use specific recipes with QLora methods to increase accuracy in advanced RAG contexts. |
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# Prompt Format |
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We use the default ChatML format with `system` role support. |
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``` |
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<|begin_of_text|><|im_start|>system |
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{SYSTEM_CONTEXT}<|im_end|> |
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<|im_start|>user |
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{USER_ENTRY}<|im_end|> |
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<|im_start|>assistant |
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{ASSISTANT_ENTRY}<|im_end|> |
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``` |
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**This model is under construction** |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Enno-Ai__EnnoAi-Pro-Llama-3-8B) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |12.17| |
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|IFEval (0-Shot) |31.95| |
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|BBH (3-Shot) |17.51| |
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|MATH Lvl 5 (4-Shot)| 0.15| |
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|GPQA (0-shot) | 1.57| |
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|MuSR (0-shot) | 9.08| |
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|MMLU-PRO (5-shot) |12.79| |
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