Hy-MT2-7B#

  • Context Length: 262144

  • Model Name: Hy-MT2-7B

  • Languages: en, zh

  • Abilities: chat

  • Description: Hy-MT2-7B is a dense multilingual translation model from Tencent Hunyuan, supporting 33 languages with balanced performance for general-purpose high-quality translation.

Specifications#

Model Spec 1 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: none

  • Engines: Transformers, SGLang

  • Model ID: tencent/Hy-MT2-7B

  • 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-MT2-7B --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: fp8

  • Engines: Transformers

  • Model ID: tencent/Hy-MT2-7B-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-MT2-7B --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 3 (ggufv2, 7 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 7

  • Quantizations: Q4_K_M, Q6_K, Q8_0

  • Engines: llama.cpp

  • Model ID: tencent/Hy-MT2-7B-GGUF

  • 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-MT2-7B --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}