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aya-101

Text2Text Generation
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Safetensors
t5
text-generation-inference
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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ datasets:
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+ - CohereForAI/xP3x
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+ - CohereForAI/aya_dataset
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+ - CohereForAI/aya_collection
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+ - DataProvenanceInitiative/Commercially-Verified-Licenses
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+ - CohereForAI/aya_evaluation_suite
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+ language:
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+ - afr
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+ - amh
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+ - ara
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+ - aze
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+ - bel
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+ - ben
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+ - bul
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+ - cat
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+ - ceb
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+ - ces
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+ - cym
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+ - dan
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+ - deu
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+ - ell
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+ - eng
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+ - epo
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+ - est
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+ - eus
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+ - fin
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+ - fil
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+ - fra
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+ - fry
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+ - gla
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+ - gle
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+ - glg
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+ - guj
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+ - hat
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+ - hau
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+ - heb
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+ - hin
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+ - hun
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+ - hye
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+ - ibo
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+ - ind
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+ - isl
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+ - ita
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+ - jav
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+ - jpn
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+ - kan
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+ - kat
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+ - kaz
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+ - khm
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+ - kir
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+ - kor
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+ - kur
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+ - lao
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+ - lav
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+ - lat
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+ - lit
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+ - ltz
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+ - mal
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+ - mar
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+ - mkd
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+ - mlg
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+ - mlt
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+ - mon
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+ - mri
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+ - msa
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+ - mya
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+ - nep
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+ - nld
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+ - nor
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+ - nso
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+ - nya
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+ - ory
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+ - pan
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+ - pes
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+ - pol
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+ - por
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+ - pus
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+ - ron
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+ - rus
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+ - sin
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+ - slk
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+ - slv
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+ - smo
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+ - sna
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+ - snd
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+ - som
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+ - sot
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+ - spa
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+ - sqi
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+ - srp
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+ - sun
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+ - swa
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+ - swe
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+ - tam
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+ - tel
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+ - tgk
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+ - tha
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+ - tur
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+ - twi
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+ - ukr
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+ - urd
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+ - uzb
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+ - vie
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+ - xho
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+ - yid
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+ - yor
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+ - zho
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+ - zul
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+ metrics:
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+ - accuracy
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+ - bleu
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  ---
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+
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+ <img src="aya-fig1.png" alt="Aya model summary image" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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+
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+ # Model Card for Aya Model
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+
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+ ## Model Summary
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+
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+ > The Aya model is a massively multilingual generative language model that follows instructions in 101 languages.
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+ > Aya outperforms [mT0](https://huggingface.co/bigscience/mt0-xxl) and [BLOOMZ](https://huggingface.co/bigscience/bloomz) a wide variety of automatic and human evaluations despite covering double the number of languages.
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+ > The Aya model is trained using [xP3x](https://huggingface.co/datasets/CohereForAI/xP3x), [Aya Dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset), [Aya Collection](https://huggingface.co/datasets/CohereForAI/aya_collection), a subset of [DataProvenance collection](https://huggingface.co/datasets/DataProvenanceInitiative/Commercially-Verified-Licenses) and ShareGPT-Command.
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+ > We release the checkpoints under a Apache-2.0 license to further our mission of multilingual technologies empowering a
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+ > multilingual world.
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+
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+ - **Developed by:** Cohere For AI
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+ - **Model type:** a Transformer style autoregressive massively multilingual language model.
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+ - **Paper**: [Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](arxiv.com)
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+ - **Point of Contact**: [Ahmet Ustun](mailto:[email protected])
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+ - **Languages**: Refer to the list of languages in the `language` section of this model card.
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+ - **License**: Apache-2.0
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+ - **Model**: [Aya](https://huggingface.co/CohereForAI/aya)
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+ - **Model Size**: 13 billion parameters
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+ - **Datasets**: [xP3x](https://huggingface.co/datasets/CohereForAI/xP3x), [Aya Dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset), [Aya Collection](https://huggingface.co/datasets/CohereForAI/aya_collection), [DataProvenance collection](https://huggingface.co/datasets/DataProvenanceInitiative/Commercially-Verified-Licenses), ShareGPT-Command.
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+
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+ ## Use
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+
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+ ```bash
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+ # pip install -q transformers
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+ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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+
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+ checkpoint = "CohereForAI/aya_model"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(checkpoint)
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+ aya_model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)
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+
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+ inputs = tokenizer.encode("Translate to English: Je t’aime.", return_tensors="pt")
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+ outputs = aya_model.generate(inputs)
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+ print(tokenizer.decode(outputs[0]))
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+ ```
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+
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+ ## Model Details
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+
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+ ### Training
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+
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+ - Architecture: Same as [mt5-xxl](https://huggingface.co/google/mt5-xxl)
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+ - Finetuning Steps: 25000
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+ - Hardware: TPUv4-128
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+ - Software: T5X, Jax
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+
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+ ### Data Sources
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+
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+ The Aya model is trained on the following datasets:
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+
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+ - [xP3x](https://huggingface.co/datasets/CohereForAI/xP3x)
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+ - [Aya Dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset)
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+ - [Aya Collection](https://huggingface.co/datasets/CohereForAI/aya_collection)
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+ - [DataProvenance collection](https://huggingface.co/datasets/DataProvenanceInitiative/Commercially-Verified-Licenses)
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+ - ShareGPT-Command
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+
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+ All datasets are subset to the 101 languages supported by [mT5]. See the [paper](arxiv.com) for details about filtering and pruning.
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ > We introduce extensive new evaluation suites that broaden the state-of-art for multilingual eval across 99 languages – including discriminative, generative tasks, human evaluation and simulated win rates that cover both held-out tasks and
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+ > in-distribution performance.
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+
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+ Below, we provide evaluation results for the Aya model on unseen discriminative tasks, and in-distribution generative tasks compared to mT0, BLOOMZ, Bactrian-X 13B, and mT0x. To ensure a fair comparison with our Aya model in terms of language coverage, we finetune a new variant of mT5, that we dub mT0x. It is trained using the original datasets that are part of the xP3 collection but extended to 101 languages (xP3x).
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+
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+ For Multlingual MMLU, Simulated and Human Win-rates, please refer to the [paper](arxiv.com)
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+
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+ ### Discriminative Tasks
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+
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+ | Model | Base Model | IFT Mixture | XCOPA (Acc %) | XNLI (Acc %) | XSC (Acc %) | XWG (Acc %) | **<u>Avg</u>** |
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+ | :---------------- | :--------- | :---------: | :-----------: | :----------: | :---------: | :---------: | :------------: |
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+ | **46 Languages** | | | | | | | |
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+ | mT0 | mT5 13B | xP3 | 75.6 | 55.3 | 87.2 | 73.6 | 72.9 |
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+ | BLOOMZ | BLOOM 176B | xP3 | 64.3 | 52.0 | 82.6 | 63.3 | 65.5 |
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+ | **52 Languages** | | | | | | | |
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+ | Bactrian-X 13B | Llama 13B | Bactrian-X | 52.4 | 34.5 | 51.8 | 50.5 | 47.3 |
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+ | **101 Languages** | | | | | | | |
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+ | mT0x | mT5 13B | xP3x | 71.7 | 45.9 | 85.1 | 60.6 | 65.8 |
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+ | Aya model | mT5 13B | All Mixture | 76.7 | 58.3 | 90.0 | 70.7 | 73.9 |
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+
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+ ### Generative Tasks
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+
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+ | Model | Base Model | IFT Mixture | FLORES-200 (spBleu) | FLORES-200 (spBleu) | XLSum (RougeLsum) | Tydi-QA (F1) |
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+ | :---------------- | :--------: | :---------- | :-----------------: | :-----------------: | :---------------: | :----------: |
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+ | | | | X→ En | En → X | | |
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+ | **101 Languages** | | | | | | |
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+ | mT0x | mT5 13B | xP3x | 20.2 | 14.5 | 21.4 | 76.1 |
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+ | Aya Model | mT5 13B | All Mixture | 29.1 | 19.0 | 22.0 | 77.8 |
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+
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+ Note: We cannot compare mT0, and BLOOMZ for the above generative tasks, as the validation splits are part of mT0 and BLOOMZ's training data.
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+
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+ ## Bias, Risks, and Limitations
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+
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+ Like any base language model or fine-tuned model without safety filtering, it is relatively easy for a user to prompt these models to generate harmful and generally sensitive content.
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+ Aya model, as released, does not include any safety filtering.
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+ We hope that the release of the Aya model will make community-based redteaming efforts possible, by exposing an open-source massively-multilingual model for community research.
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+
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+ For a detailed overview of our effort at safety mitigation and benchmarking toxicity and bias across multiple languages, we refer Sections 6 and 7 of our paper: [Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](arxiv.com).
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+
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+ ## Citation
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+
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+ **BibTeX:**
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+
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+ ```
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+ @article{,
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+ title={},
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+ author={},
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+ journal={Preprint},
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+ year={2024}
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+ }
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+ ```
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+
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+ **APA:**
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+
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+ ## Languages Covered
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+
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+ Below is the list of languages used in finetuning the Aya Model. We group languages into higher-, mid-, and lower-resourcedness based on a language classification by [Joshi et. al, 2020](https://microsoft.github.io/linguisticdiversity/). For further details, refer to our [paper]()
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+
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+ | ISO Code | Language Name | Script | Family | Subgrouping | Resourcedness |
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+ | :------- | :-------------- | :----------: | :-------------: | :---------------: | :-----------: |
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+ | afr | Afrikaans | Latin | Indo-European | Germanic | Mid |
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+ | amh | Amharic | Ge'ez | Afro-Asiatic | Semitic | Low |
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+ | ara | Arabic | Arabic | Afro-Asiatic | Semitic | High |
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+ | aze | Azerbaijani | Arabic/Latin | Turkic | Common Turkic | Low |
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+ | bel | Belarusian | Cyrillic | Indo-European | Balto-Slavic | Mid |
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+ | ben | Bengali | Bengali | Indo-European | Indo-Aryan | Mid |
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+ | bul | Bulgarian | Cyrillic | Indo-European | Balto-Slavic | Mid |
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+ | cat | Catalan | Latin | Indo-European | Italic | High |
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+ | ceb | Cebuano | Latin | Austronesian | Malayo-Polynesian | Mid |
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+ | ces | Czech | Latin | Indo-European | Balto-Slavic | High |
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+ | cym | Welsh | Latin | Indo-European | Celtic | Low |
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+ | dan | Danish | Latin | Indo-European | Germanic | Mid |
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+ | deu | German | Latin | Indo-European | Germanic | High |
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+ | ell | Greek | Greek | Indo-European | Graeco-Phrygian | Mid |
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+ | eng | English | Latin | Indo-European | Germanic | High |
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+ | epo | Esperanto | Latin | Constructed | Esperantic | Low |
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+ | est | Estonian | Latin | Uralic | Finnic | Mid |
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+ | eus | Basque | Latin | Basque | - | High |
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+ | fin | Finnish | Latin | Uralic | Finnic | High |
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+ | fil | Tagalog | Latin | Austronesian | Malayo-Polynesian | Mid |
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+ | fra | French | Latin | Indo-European | Italic | High |
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+ | fry | Western Frisian | Latin | Indo-European | Germanic | Low |
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+ | gla | Scottish Gaelic | Latin | Indo-European | Celtic | Low |
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+ | gle | Irish | Latin | Indo-European | Celtic | Low |
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+ | glg | Galician | Latin | Indo-European | Italic | Mid |
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+ | guj | Gujarati | Gujarati | Indo-European | Indo-Aryan | Low |
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+ | hat | Haitian Creole | Latin | Indo-European | Italic | Low |
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+ | hau | Hausa | Latin | Afro-Asiatic | Chadic | Low |
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+ | heb | Hebrew | Hebrew | Afro-Asiatic | Semitic | Mid |
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+ | hin | Hindi | Devanagari | Indo-European | Indo-Aryan | High |
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+ | hun | Hungarian | Latin | Uralic | - | High |
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+ | hye | Armenian | Armenian | Indo-European | Armenic | Low |
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+ | ibo | Igbo | Latin | Atlantic-Congo | Benue-Congo | Low |
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+ | ind | Indonesian | Latin | Austronesian | Malayo-Polynesian | Mid |
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+ | isl | Icelandic | Latin | Indo-European | Germanic | Low |
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+ | ita | Italian | Latin | Indo-European | Italic | High |
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+ | jav | Javanese | Latin | Austronesian | Malayo-Polynesian | Low |
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+ | jpn | Japanese | Japanese | Japonic | Japanesic | High |
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+ | kan | Kannada | Kannada | Dravidian | South Dravidian | Low |
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+ | kat | Georgian | Georgian | Kartvelian | Georgian-Zan | Mid |
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+ | kaz | Kazakh | Cyrillic | Turkic | Common Turkic | Mid |
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+ | khm | Khmer | Khmer | Austroasiatic | Khmeric | Low |
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+ | kir | Kyrgyz | Cyrillic | Turkic | Common Turkic | Low |
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+ | kor | Korean | Hangul | Koreanic | Korean | High |
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+ | kur | Kurdish | Latin | Indo-European | Iranian | Low |
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+ | lao | Lao | Lao | Tai-Kadai | Kam-Tai | Low |
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+ | lav | Latvian | Latin | Indo-European | Balto-Slavic | Mid |
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+ | lat | Latin | Latin | Indo-European | Italic | Mid |
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+ | lit | Lithuanian | Latin | Indo-European | Balto-Slavic | Mid |
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+ | ltz | Luxembourgish | Latin | Indo-European | Germanic | Low |
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+ | mal | Malayalam | Malayalam | Dravidian | South Dravidian | Low |
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+ | mar | Marathi | Devanagari | Indo-European | Indo-Aryan | Low |
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+ | mkd | Macedonian | Cyrillic | Indo-European | Balto-Slavic | Low |
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+ | mlg | Malagasy | Latin | Austronesian | Malayo-Polynesian | Low |
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+ | mlt | Maltese | Latin | Afro-Asiatic | Semitic | Low |
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+ | mon | Mongolian | Cyrillic | Mongolic-Khitan | Mongolic | Low |
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+ | mri | Maori | Latin | Austronesian | Malayo-Polynesian | Low |
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+ | msa | Malay | Latin | Austronesian | Malayo-Polynesian | Mid |
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+ | mya | Burmese | Myanmar | Sino-Tibetan | Burmo-Qiangic | Low |
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+ | nep | Nepali | Devanagari | Indo-European | Indo-Aryan | Low |
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+ | nld | Dutch | Latin | Indo-European | Germanic | High |
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+ | nor | Norwegian | Latin | Indo-European | Germanic | Low |
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+ | nso | Northern Sotho | Latin | Atlantic-Congo | Benue-Congo | Low |
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+ | nya | Chichewa | Latin | Atlantic-Congo | Benue-Congo | Low |
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+ | ory | Oriya | Oriya | Indo-European | Indo-Aryan | Low |
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+ | pan | Punjabi | Gurmukhi | Indo-European | Indo-Aryan | Low |
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+ | pes | Persian | Arabic | Indo-European | Iranian | High |
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+ | pol | Polish | Latin | Indo-European | Balto-Slavic | High |
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+ | por | Portuguese | Latin | Indo-European | Italic | High |
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+ | pus | Pashto | Arabic | Indo-European | Iranian | Low |
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+ | ron | Romanian | Latin | Indo-European | Italic | Mid |
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+ | rus | Russian | Cyrillic | Indo-European | Balto-Slavic | High |
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+ | sin | Sinhala | Sinhala | Indo-European | Indo-Aryan | Low |
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+ | slk | Slovak | Latin | Indo-European | Balto-Slavic | Mid |
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+ | slv | Slovenian | Latin | Indo-European | Balto-Slavic | Mid |
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+ | smo | Samoan | Latin | Austronesian | Malayo-Polynesian | Low |
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+ | sna | Shona | Latin | Indo-European | Indo-Aryan | Low |
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+ | snd | Sindhi | Arabic | Indo-European | Indo-Aryan | Low |
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+ | som | Somali | Latin | Afro-Asiatic | Cushitic | Low |
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+ | sot | Southern Sotho | Latin | Atlantic-Congo | Benue-Congo | Low |
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+ | spa | Spanish | Latin | Indo-European | Italic | High |
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+ | sqi | Albanian | Latin | Indo-European | Albanian | Low |
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+ | srp | Serbian | Cyrillic | Indo-European | Balto-Slavic | High |
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+ | sun | Sundanese | Latin | Austronesian | Malayo-Polynesian | Low |
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+ | swa | Swahili | Latin | Atlantic-Congo | Benue-Congo | Low |
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+ | swe | Swedish | Latin | Indo-European | Germanic | High |
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+ | tam | Tamil | Tamil | Dravidian | South Dravidian | Mid |
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+ | tel | Telugu | Telugu | Dravidian | South Dravidian | Low |
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+ | tgk | Tajik | Cyrillic | Indo-European | Iranian | Low |
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+ | tha | Thai | Thai | Tai-Kadai | Kam-Tai | Mid |
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+ | tur | Turkish | Latin | Turkic | Common Turkic | High |
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+ | twi | Twi | Latin | Atlantic-Congo | Niger-Congo | Low |
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+ | ukr | Ukrainian | Cyrillic | Indo-European | Balto-Slavic | Mid |
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+ | urd | Urdu | Arabic | Indo-European | Indo-Aryan | Mid |
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+ | uzb | Uzbek | Latin | Turkic | Common Turkic | Mid |
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+ | vie | Vietnamese | Latin | Austroasiatic | Vietic | High |
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+ | xho | Xhosa | Latin | Atlantic-Congo | Benue-Congo | Low |
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+ | yid | Yiddish | Hebrew | Indo-European | Germanic | Low |
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+ | yor | Yoruba | Latin | Atlantic-Congo | Benue-Congo | Low |
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+ | zho | Chinese | Han | Sino-Tibetan | Sinitic | High |
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+ | zul | Zulu | Latin | Atlantic-Congo | Benue-Congo | Low |
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+
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+ ## Model Card Contact
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+
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+ For errors in this model card, contact Ahmet or Viraat, `{ahmet, viraat} at cohere dot com`.