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White Circle Releases Halo for AI Model Post-Training

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White Circle has introduced Halo, a framework designed to streamline post-training for open-source AI models. The tool supports various training methods while offering significant performance improvements over existing libraries like TRL.

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Halo Framework Features
Project Availability

Halo Framework Features

Choi reports that Halo supports fine-tuning and asynchronous reinforcement learning while maintaining compatibility with Hugging Face formats. Testing on the gpt-oss-20b model showed 2.3 to 2.8 times higher throughput than TRL with lower memory usage, allowing users to manage configurations via a single YAML file.

@choi.openai · Source post ↗

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Project Availability

The Halo framework is publicly accessible via the official White Circle GitHub repository. Users can reference the provided link to explore the source code and documentation for their own AI training projects.

Source post ↗github.com ↗

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This is a linked resource, not an independent verification of performance, cost or results. Check the original for current details.

Collected: 2026-09-22
Discovered via: www.threads.com

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