David

This is a GGUF LoRA adapter, not a standalone model. It is intended for the anonymization.ner entity-extraction route in Jurilix. Apply it at strength 0.75 for that route and explicitly send strength 0 for other routes. 4b4a2c1d584be7264f87aac328a1bc739ce81b6c, file gemma-4-E4Bq40-it.gguf. The published source recipe pins upstream llama.cpp and a Gemma JSON parser fix. GPU performance or inference quality on other platforms. Start llama-server with --lora ADAPTER.gguf --lora-init-without-apply --cache-ram 0. For entity extraction, include "lora": [{"id": 0, "scale": 0.75}] in each request. For every other route, include "lora": [{"id": 0, "scale": 0}]. Disabling the RAM prompt cache is…