MiniCPM-Llama3-V-2_5#

  • Context Length: 8192

  • Model Name: MiniCPM-Llama3-V-2_5

  • Languages: en, zh

  • Abilities: chat, vision

  • Description: MiniCPM-Llama3-V 2.5 is the latest model in the MiniCPM-V series. The model is built on SigLip-400M and Llama3-8B-Instruct with a total of 8B parameters.

Specifications#

Model Spec 1 (pytorch, 8 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 8

  • Quantizations: none

  • Engines: Transformers

  • Model ID: openbmb/MiniCPM-Llama3-V-2_5

  • 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 MiniCPM-Llama3-V-2_5 --size-in-billions 8 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 8 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 8

  • Quantizations: int4

  • Engines: Transformers

  • Model ID: openbmb/MiniCPM-Llama3-V-2_5-{quantization}

  • 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 MiniCPM-Llama3-V-2_5 --size-in-billions 8 --model-format pytorch --quantization ${quantization}