---
title: entailer-11b
canonical_url: "https://www.modelscope.cn/models/LLM-Research/entailer-11b"
md_url: "https://www.modelscope.cn/models/LLM-Research/entailer-11b.md"
repository: LLM-Research/entailer-11b
last_updated: 2024-11-21
license: apache-2.0
pipeline_tag: text2text-generation
tasks:
  - text2text-generation
model_type:
  - t5
architectures:
  - T5ForConditionalGeneration
library_name:
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 2156
stars: 0
---

# entailer-11b

> entailer-11b - LLM-Research 在 ModelScope 开源的模型。Entailer is a text-to-text model trained to create entailment-style explanations for a hypothesis (following the format of EntailmentBank), as well as verifying both the reasoning and the factuality of the…

LLM-Research/entailer-11b 是 ModelScope 魔搭社区上的text2text-generation模型，采用 apache-2.0 许可。

- **Repository**: LLM-Research/entailer-11b
- **License**: apache-2.0
- **Tasks**: text2text-generation
- **Downloads**: 2156
- **Stars**: 0
- **Last updated**: 2024-11-21

Source: https://www.modelscope.cn/models/LLM-Research/entailer-11b

---

# entailer-11b

## Model description

Entailer is a text-to-text model trained to create entailment-style explanations for a hypothesis 
(following the format of [EntailmentBank](https://allenai.org/data/entailmentbank)), as well as verifying both the reasoning and the factuality of the premises.

Entailer was built on top of [T5](https://github.com/google-research/text-to-text-transfer-transformer) and comes in 
two sizes: [entailer-11b](https://huggingface.co/allenai/entailer-11b) and
[entailer-large](https://huggingface.co/allenai/entailer-large).

See https://github.com/allenai/entailment_bank for more details.