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Dev Tools · 2h ago

Gemma 4 Fine-Tune Fails at Inference Due to Undocumented Template Bug

By Meridian48 News Desk · Summarised from DEV Community ·

A developer fine-tuned Gemma 4 E2B using QLoRA on Colab, merged the adapter, and exported the model without errors. However, the model crashed on the first inference call due to an unsupported Jinja template feature in the LiteRT-LM runtime. The bug only surfaces during inference, not model loading, making it a deployment trap for on-device AI apps.

Meridian48 take
This highlights a common gap in AI deployment: model export tools often lack runtime compatibility checks, forcing developers to debug failures at the worst possible moment.
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My Fine-Tuned Gemma 4 Loaded Fine, Then Broke on the First Message →
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