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--- |
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title: AI Language Monitor |
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emoji: 🌍 |
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colorFrom: purple |
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colorTo: pink |
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sdk: gradio |
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license: cc-by-sa-4.0 |
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short_description: Evaluating LLM performance across all human languages. |
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datasets: |
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- openlanguagedata/flores_plus |
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- google/fleurs |
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- mozilla-foundation/common_voice_1_0 |
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models: |
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- meta-llama/Llama-3.3-70B-Instruct |
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- mistralai/Mistral-Small-24B-Instruct-2501 |
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- deepseek-ai/DeepSeek-V3 |
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- microsoft/phi-4 |
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- openai/whisper-large-v3 |
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- google/gemma-3-27b-it |
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tags: |
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- leaderboard |
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- submission:manual |
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- test:public |
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- judge:auto |
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- modality:text |
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- modality:artefacts |
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- eval:generation |
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- language:English |
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- language:German |
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--- |
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<!-- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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For tag meaning, see https://huggingface.co/spaces/leaderboards/LeaderboardsExplorer |
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--> |
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[](https://huggingface.co/spaces/datenlabor-bmz/ai-language-monitor) |
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# AI Language Monitor 🌍 |
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Benchmarking all big AI models on all benchmarkable languages. |
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```bash |
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uv run evals/main.py |
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``` |
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