.. _models_llm_hy-mt2-30b-a3b: ======================================== Hy-MT2-30B-A3B ======================================== - **Context Length:** 262144 - **Model Name:** Hy-MT2-30B-A3B - **Languages:** en, zh - **Abilities:** chat - **Description:** Hy-MT2-30B-A3B is a Mixture-of-Experts multilingual translation model from Tencent Hunyuan, supporting 33 languages with SOTA performance for complex professional domains. Specifications ^^^^^^^^^^^^^^ Model Spec 1 (pytorch, 30 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 30 - **Quantizations:** none - **Engines**: Transformers, SGLang - **Model ID:** tencent/Hy-MT2-30B-A3B - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Hy-MT2-30B-A3B --size-in-billions 30 --model-format pytorch --quantization ${quantization} Model Spec 2 (pytorch, 30 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 30 - **Quantizations:** fp8 - **Engines**: Transformers - **Model ID:** tencent/Hy-MT2-30B-A3B-FP8 - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Hy-MT2-30B-A3B --size-in-billions 30 --model-format pytorch --quantization ${quantization}