---
id: "/infrastructure-chips-efficiency/local-on-device/"
title: "local/on-device: 6 curated resources"
url: "https://skillissue.dev/infrastructure-chips-efficiency/local-on-device/"
---

# local/on-device: 6 curated resources

local/on-device

[Beginner](/infrastructure-chips-efficiency/beginner/index.md) [Intermediate](/infrastructure-chips-efficiency/intermediate/index.md) [Advanced](/infrastructure-chips-efficiency/advanced/index.md) [Expert](/infrastructure-chips-efficiency/expert/index.md)

6 resources · page 1 of 1

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### [Apple machine learning research](/model-training/training-infrastructure/apple-machine-learning-research/index.md)

by [Apple Machine Learning Research](https://machinelearning.apple.com/)

Apple Machine Learning Research publications: papers on speech, language, vision, privacy and health.

entity org US; international en 

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### [llama.cpp](/model-training/training-infrastructure/local-on-device-ai/index.md)

by [ggml](https://huggingface.co/ggml-org)

llama.cpp GitHub repo: LLM inference in C/C++ for local and on-device hardware.

entity repo Bulgaria en 

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### [MiniCPM](/model-training/training-infrastructure/minicpm-technical-repository/index.md)

by [OpenBMB](https://www.openbmb.cn)

OpenBMB MiniCPM GitHub repo: on-device small language models with deployment resources.

entity repo China zh 

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### [MiniCPM-V](/model-training/training-infrastructure/minicpm-v-technical-repository/index.md)

by [OpenBMB](https://www.openbmb.cn)

OpenBMB MiniCPM-V GitHub repo: on-device multimodal models MiniCPM-V and MiniCPM-o for vision and speech.

entity repo China zh 

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### [fairseq: NLLB branch](/model-training/training-infrastructure/translation-localization/index.md)

by [Meta Research](https://opensource.fb.com)

Meta fairseq nllb branch on GitHub: code for the No Language Left Behind translation models.

entity repo US en 

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### [google-ai-edge/gallery: skills](/model-training/training-infrastructure/google-ai-edge-gallery-skills/index.md)

by [google-ai-edge](https://github.com/google-ai-edge)

Google AI Edge Gallery skills folder on GitHub: skills for on-device ML and generative AI apps.

Intermediate learning_resource skill-library US en 

[Plain-text Markdown copy](/infrastructure-chips-efficiency/local-on-device/index.md)
