LLM deployment framework on Ray (now upstreamed to Ray)
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This repository, ray-project/ray-llm
, is an archived project that previously provided APIs for deploying Large Language Models (LLMs) on the Ray distributed computing framework. The functionality has been migrated to the main Ray repository, specifically within ray.serve.llm
and ray.data.llm
, offering a more integrated and maintained solution for LLM deployment.
How It Works
The project leveraged the Ray ecosystem to facilitate distributed LLM inference and data processing. By integrating LLM deployment into Ray's core libraries, it aimed to simplify the complexities of scaling LLMs across multiple nodes and GPUs, enabling efficient serving and data handling for LLM-related workloads.
Highlighted Details
ray.serve.llm
and ray.data.llm
.Maintenance & Community
This repository is archived and no longer maintained. The Ray team now manages the LLM-related APIs within the main Ray project.
Licensing & Compatibility
The original licensing information is not directly available as the repository is archived. However, the main Ray project is typically licensed under Apache 2.0, which is permissive for commercial use.
Limitations & Caveats
This repository is archived and will not receive further updates or maintenance. Users should migrate to the integrated APIs within the main Ray project for current LLM deployment needs.
4 months ago
1 day