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vllm-translategemma-12b-it

The original TranslateGemma model requires a structured payload with dedicated `source_lang_code` and `target_lang_code` fields: However, vLLM does not support these custom content parameters. To maintain compatibility, the chat template has been modified to encode language codes directly in the message content using a delimiter-based format: The original model uses the new Transformers RoPE configuration format with separate attention type settings:

The original TranslateGemma model requires a structured payload with dedicated `source_lang_code` and `target_lang_code` fields: However, vLLM does not support these custom content parameters. To maintain compatibility, the chat template has been modified to encode language codes directly in the message content using a delimiter-based format: The original model uses the new Transformers RoPE configuration format with separate attention type settings:

Sources

huggingface.co ↗