This is quantized version of bigscience/bloomz-7b1 created using llama.cpp 1. Model Summary 2. Use 3. Limitations 4. Training 5. Evaluation 7. Citation > We present BLOOMZ & mT0, a family of models capable of following human instructions in dozens of languages zero-shot. We finetune BLOOM & mT5 pretrained multilingual language models on our crosslingual task mixture (xP3) and find the resulting models capable of crosslingual generalization to unseen tasks & languages. — Repository: bigscience-workshop/xmtf — Paper: Crosslingual Generalization through Multitask Finetuning — Point of Contact: Niklas Muennighoff — Languages: Refer to bloom for pretraining & xP3 for finetuning language proportions. It understands both pretraining & finetuning languages. — BLOOMZ & mT0 Model Family: Multitask finetuned on xP3. Recommended for prompting in English. Parameters 300M 580M 1.2B 3.7B 13B 560M 1.1B 1.7B 3B 7.1B 176B Finetuned Model mt0-small mt0-base mt0-large mt0-xl mt0-xxl bloomz-560m bloomz-1b1 bloomz-1b7 bloomz-3b bloomz-7b1 bloomz Multitask finetuned on xP3mt. Recommended for prompting in non-English. Finetuned Model mt0-xxl-mt bloomz-7b1-mt bloomz-mt Multitask…
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Автор: QuantFactory
Теги: gguf, ak, ar, as, bm, bn, ca, code
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
