xverse#

  • Context Length: 2048

  • Model Name: xverse

  • Languages: en, zh

  • Abilities: generate

  • Description: XVERSE is a multilingual large language model, independently developed by Shenzhen Yuanxiang Technology.

Specifications#

Model Spec 1 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: xverse/XVERSE-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 xverse --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 13 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 13

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: xverse/XVERSE-13B

  • 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 xverse --size-in-billions 13 --model-format pytorch --quantization ${quantization}

Model Spec 3 (pytorch, 65 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 65

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: xverse/XVERSE-65B

  • 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 xverse --size-in-billions 65 --model-format pytorch --quantization ${quantization}