OmniLMM#

  • Context Length: 2048

  • Model Name: OmniLMM

  • Languages: en, zh

  • Abilities: chat, vision

  • Description: OmniLMM is a family of open-source large multimodal models (LMMs) adept at vision & language modeling.

Specifications#

Model Spec 1 (pytorch, 3 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 3

  • Quantizations: none

  • Engines: Transformers

  • Model ID: openbmb/MiniCPM-V

  • 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 OmniLMM --size-in-billions 3 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 12 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 12

  • Quantizations: none

  • Engines: Transformers

  • Model ID: openbmb/OmniLMM-12B

  • 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 OmniLMM --size-in-billions 12 --model-format pytorch --quantization ${quantization}