MODEL PROFILE

bloomz-560m-nli

cmarkea · bloomz-560m-nli

We introduce the Bloomz-560m-NLI model, fine-tuned from the Bloomz-560m-chat-dpo foundation model. This model is trained on a Natural Language Inference (NLI) task in a language-agnostic manner. The NLI task involves determining the semantic relationship between a hypothesis and a set of premises, often expressed as pairs of sentences. The goal is to predict textual entailment (does sentence A imply/contradict/neither sentence B?) and is a classification task (given two sentences, predict one of the three labels). If sentence A is called *premise*, and sentence B is called *hypothesis*, then the goal of the modelization is to estimate the following: $$P(premise=c\in\{contradiction, entailment, neutral\}\vert hypothesis)$$ It should be noted that hypotheses and premises are randomly chosen between English and French, with each language combination representing a probability of 25%.

license:bigscience-bloom-rail-1.0
Context windowNot disclosed
Input → Output待核验 → 待核验
Model weightsNot verified
Profile updated2026/11/2 19:16:29
OVERVIEW

Model overview

We introduce the Bloomz-560m-NLI model, fine-tuned from the Bloomz-560m-chat-dpo foundation model. This model is trained on a Natural Language Inference (NLI) task in a language-agnostic manner. The NLI task involves determining the semantic relationship between a hypothesis and a set of premises, often expressed as pairs of sentences. The goal is to predict textual entailment (does sentence A imply/contradict/neither sentence B?) and is a classification task (given two sentences, predict one of the three labels). If sentence A is called *premise*, and sentence B is called *hypothesis*, then the goal of the modelization is to estimate the following: $$P(premise=c\in\{contradiction, entailment, neutral\}\vert hypothesis)$$ It should be noted that hypotheses and premises are randomly chosen between English and French, with each language combination representing a probability of 25%.

Key features

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Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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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。