Model overview
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:**
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
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Estimate monthly base token costs
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Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Sources & traceability
许可证：bigscience-bloom-rail-1.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。