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IFM-AI opens tools for LLM training and serving
A September 28, 2026 announcement presents open-source tools for pretraining, attention, checkpoint conversion, and language-model serving.
On September 28, 2026, IFM-AI announced the release of the xLLM code, a lightweight infrastructure for language-model pretraining. The announcement also includes xattn, an attention backend, and xBridges, a toolkit for checkpoint conversion and serving.
The material says engineers can evaluate tools for these stages, but reports no performance results or comparisons. To confirm the scope and technical details, consult the original announcement and the official projects’ documentation and code, checking that they match the description. If you use AI to study or apply the material, avoid submitting personal data or confidential content unless you have first checked your organization’s policy.
Original source: IFM-AI abre o código de ferramentas para treino e serving de LLMs