⚡VeriLoop E2, a 27B open-weight model post-trained from Qwen3, was released under the Apache-2.0 license.

"VeriLoop E2, a 27B open-weight model post-trained from Qwen3, released under Apache-2.0" — r/LocalLLaMA · AI & Technology

28 Sept 2026

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What it means

VeriLoop E2 is a 27-billion-parameter open-weight language model that was further trained () starting from Alibaba's base model. It has been released under the permissive license, making it freely usable for most purposes. The model is being discussed in the r/LocalLLaMA community, which focuses on running large language models locally.

Accuracy & sourcesSourced

The claim comes directly from the official release (primary source), so the fact of the release is solid. However, without the full release documentation, specific details about the post-training process or benchmark performance are not independently confirmed here.

⚡VeriLoop E2, a 27B open-weight model post-trained from Qwen3, was released under the Apache-2.0 license.

What it means

Accuracy & sourcesSourced

How new

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