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Hugging Face Transformers released v5.20.1, which includes Reflection AI's Beam, a token-efficient frontier-scale model focused on coding and agentic use cases, alongside fixes for loading models on older torch versions.

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Hugging Face Transformers v5.20.1 Ships Reflection AI's Beam Model for Coding and Agents

What shipped

FAQ

What is Beam from Reflection AI?

Beam is a token-efficient, frontier-scale model focused on coding and agentic use cases, built for teams that want to run a powerful model on their own hardware, infrastructure, or cloud and customize it.

What is new in Hugging Face Transformers v5.20.1?

It includes Reflection AI's Beam model, fixes model loading on older torch versions, and patches issues in HunYuan-VL, DeepGEMM Mega MoE, and DtensorShardOperation.

Can MENA teams run Beam on-premises?

Yes. The release states Beam is built for teams that want to run a powerful model on their own hardware, infrastructure, or cloud and customize it, which suits organizations needing data sovereignty.

Should teams upgrade Transformers now?

If you rely on older torch versions or use HunYuan-VL or DeepGEMM Mega MoE, upgrading to v5.20.1 addresses documented compatibility issues in the release notes.

Source: Hugging Face Transformers Releases

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