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:
AI is happening. The future is updating.