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--- |
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license: creativeml-openrail-m |
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datasets: |
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- fka/awesome-chatgpt-prompts |
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- HuggingFaceFW/fineweb-2 |
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- HuggingFaceTB/smoltalk |
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- O1-OPEN/OpenO1-SFT |
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- PleIAs/common_corpus |
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- AI-MO/NuminaMath-CoT |
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- ChuGyouk/AI-MO-NuminaMath-CoT-Ko |
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- alpindale/two-million-bluesky-posts |
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- CohereForAI/Global-MMLU |
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language: |
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- aa |
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- ae |
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- ak |
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- af |
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- ab |
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- am |
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- an |
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- ar |
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- as |
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- av |
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- ay |
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- az |
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- ba |
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- bg |
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- be |
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- bh |
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- co |
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- bn |
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- bo |
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- br |
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- bs |
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- ca |
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- ce |
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- ch |
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- cr |
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- cs |
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- cu |
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- cv |
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- cy |
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- en |
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- bm |
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- de |
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- dv |
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- da |
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- dz |
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- el |
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- ee |
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- es |
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- et |
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- eu |
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- fa |
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- ff |
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- bi |
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- eo |
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- fj |
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- fo |
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- fi |
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- fr |
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- fy |
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- ga |
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- gd |
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- gl |
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- gn |
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- gu |
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- gv |
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- ha |
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- hi |
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- ie |
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- hr |
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- he |
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- ho |
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- hu |
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- hy |
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- ht |
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- hz |
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- id |
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- ig |
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- ii |
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- ik |
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- ia |
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- kj |
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- is |
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- it |
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- iu |
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- ja |
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- jv |
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- ko |
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- ki |
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- kg |
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metrics: |
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- accuracy |
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- bertscore |
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- bleu |
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- bleurt |
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- code_eval |
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- chrf |
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- charcut_mt |
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- character |
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- cer |
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- brier_score |
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base_model: |
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- Qwen/QwQ-32B-Preview |
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- meta-llama/Llama-3.3-70B-Instruct |
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- tencent/HunyuanVideo |
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- mlx-community/Qwen_QwQ-32B-Preview_MLX-8bit |
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- black-forest-labs/FLUX.1-dev |
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- Lightricks/LTX-Video |
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- Djrango/Qwen2vl-Flux |
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- stabilityai/stable-diffusion-3.5-large |
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- Datou1111/shou_xin |
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- Qwen/Qwen2.5-Coder-32B-Instruct |
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new_version: meta-llama/Llama-3.3-70B-Instruct |
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pipeline_tag: question-answering |
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library_name: asteroid |
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tags: |
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- text-generation-inference |
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- Text classification |
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- Question answering |
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- Translation |
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- Summarization |
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- Image classification |
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- Object classification |
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- Image generation |
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- Learning |
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- medical |
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- biology |
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- chemistry |
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- legal |
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- music |
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- code |
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- climate |
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- art |
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- finance |
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- moe |
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- merge |
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--- |
