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Merge pull request #536 from ArmDeveloperEcosystem/main
Added UV and some ML packages
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name: Chroma | ||
category: Database | ||
description: Chroma is the AI-native open-source vector database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. | ||
download_url: https://github.com/chroma-core/chroma/releases | ||
works_on_arm: true | ||
supported_minimum_version: | ||
version_number: 0.3.27 | ||
release_date: 2023/07/10 | ||
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optional_info: | ||
homepage_url: https://www.trychroma.com/ | ||
support_caveats: | ||
alternative_options: | ||
getting_started_resources: | ||
arm_content: | ||
partner_content: | ||
official_docs: https://docs.trychroma.com/ | ||
arm_recommended_minimum_version: | ||
version_number: | ||
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optional_hidden_info: | ||
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release_notes__recommended_minimum: | ||
other_info: | ||
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name: LlamaIndex Core | ||
category: AI/ML | ||
description: LlamaIndex Core is the core python package to the LlamaIndex library, which is a simple, flexible data framework for connecting custom data sources to large language models. | ||
download_url: https://pypi.org/project/llama-index-core/#history | ||
works_on_arm: true | ||
supported_minimum_version: | ||
version_number: 0.10.30 | ||
release_date: 2024/04/17 | ||
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optional_info: | ||
homepage_url: https://www.llamaindex.ai/open-source | ||
support_caveats: | ||
alternative_options: | ||
getting_started_resources: | ||
arm_content: | ||
partner_content: | ||
official_docs: https://docs.llamaindex.ai/en/stable/ | ||
arm_recommended_minimum_version: | ||
version_number: | ||
release_date: | ||
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optional_hidden_info: | ||
release_notes__supported_minimum: | ||
release_notes__recommended_minimum: | ||
other_info: There are no Linux/ARM64 release notes. LlamaIndex Core can be installed via pip. All pypi releases have none-any wheels for LlamaIndex Core. | ||
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name: torchtune | ||
category: AI/ML | ||
description: torchtune is a Native-PyTorch library for LLM fine-tuning. | ||
download_url: https://pypi.org/project/torchtune/#history | ||
works_on_arm: true | ||
supported_minimum_version: | ||
version_number: 0.3.0 | ||
release_date: 2024/09/18 | ||
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optional_info: | ||
homepage_url: https://pytorch.org/torchtune/stable/overview.html | ||
support_caveats: torchao must be built from source - instructions in the referenced Arm content below. | ||
alternative_options: | ||
getting_started_resources: | ||
arm_content: https://learn.arm.com/learning-paths/servers-and-cloud-computing/pytorch-llama/pytorch-llama#install-pytorch-and-optimized-libraries | ||
partner_content: | ||
official_docs: https://pytorch.org/torchtune/stable/index.html | ||
arm_recommended_minimum_version: | ||
version_number: | ||
release_date: | ||
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optional_hidden_info: | ||
release_notes__supported_minimum: | ||
release_notes__recommended_minimum: | ||
other_info: There are no Linux/ARM64 release notes. torchtune can be installed via pip. All pypi releases have none-any wheels for torchtune. | ||
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name: uv | ||
category: Languages and Frameworks | ||
description: uv is a cross-platform asynchronous I/O library written in C. It provides an event-driven I/O API for files, network sockets, and timers. | ||
download_url: https://github.com/astral-sh/uv/releases | ||
works_on_arm: true | ||
supported_minimum_version: | ||
version_number: v0.0.5 | ||
release_date: 2024/02/15 | ||
optional_info: | ||
support_caveats: | ||
getting_started_resources: | ||
arm_content: | ||
partner_content: | ||
official_docs: https://github.com/astral-sh/uv | ||
optional_hidden_info: | ||
release_notes__supported_minimum: https://github.com/astral-sh/uv/releases/tag/0.0.5 | ||
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