| title: AI Language Monitor | |
| emoji: 🌍 | |
| colorFrom: purple | |
| colorTo: pink | |
| sdk: docker | |
| app_port: 8000 | |
| license: cc-by-sa-4.0 | |
| short_description: Evaluating LLM performance across all human languages. | |
| datasets: | |
| - openlanguagedata/flores_plus | |
| - google/fleurs | |
| - mozilla-foundation/common_voice_1_0 | |
| - CohereForAI/Global-MMLU | |
| models: | |
| - meta-llama/Llama-3.3-70B-Instruct | |
| - mistralai/Mistral-Small-24B-Instruct-2501 | |
| - deepseek-ai/DeepSeek-V3 | |
| - microsoft/phi-4 | |
| - openai/whisper-large-v3 | |
| - google/gemma-3-27b-it | |
| tags: | |
| - leaderboard | |
| - submission:manual | |
| - test:public | |
| - judge:auto | |
| - modality:text | |
| - modality:artefacts | |
| - eval:generation | |
| - language:English | |
| - language:German | |
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| [](https://huggingface.co/spaces/datenlabor-bmz/ai-language-monitor) | |
| # AI Language Monitor 🌍 | |
| _Tracking language proficiency of AI models for every language_ | |
| ```bash | |
| uv run evals/main.py | |
| ``` | |