---
title: recurrentgemma-2b-sfp-cpp
canonical_url: "https://www.modelscope.cn/models/google/recurrentgemma-2b-sfp-cpp"
md_url: "https://www.modelscope.cn/models/google/recurrentgemma-2b-sfp-cpp.md"
repository: google/recurrentgemma-2b-sfp-cpp
last_updated: 2025-04-21
license: gemma
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 414
stars: 0
---

# recurrentgemma-2b-sfp-cpp

> recurrentgemma-2b-sfp-cpp - google 在 ModelScope 开源的模型。RecurrentGemma Model Card

google/recurrentgemma-2b-sfp-cpp 是 ModelScope 魔搭社区上的机器学习模型，采用 gemma 许可。

- **Repository**: google/recurrentgemma-2b-sfp-cpp
- **License**: gemma
- **Downloads**: 414
- **Stars**: 0
- **Last updated**: 2025-04-21

Source: https://www.modelscope.cn/models/google/recurrentgemma-2b-sfp-cpp

---

# RecurrentGemma Model Card

**Model Page**: [RecurrentGemma]( https://ai.google.dev/gemma/docs/recurrentgemma/model_card)

This model card corresponds to the base 2B version of the RecurrentGemma model for gemma.cpp, the C++ implementation of the Gemma model family.

SFP checkpoints are pre-quantized to 8-bit using Switching Floating Point (SFP), a method that switches between eXmY floating point representations based on the values stored. gemma.cpp uses the [Highway](https://github.com/google/highway) SIMD library for optimal performance across most CPU architectures.

Visit [https://github.com/google/gemma.cpp](https://github.com/google/gemma.cpp) for more information and usage examples!

**Resources and technical documentation:**

*   [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
*   [RecurrentGemma on Kaggle](https://www.kaggle.com/models/google/recurrentgemma)

**Terms of Use:** [Terms](https://www.kaggle.com/models/google/recurrentgemma/license/consent/verify/huggingface?returnModelRepoId=google/recurrentgemma-2b-sfp-cpp)

**Authors:** Google