MiniCPM-V-2.6#

  • Context Length: 32768

  • Model Name: MiniCPM-V-2.6

  • Languages: en, zh

  • Abilities: chat, vision

  • Description: MiniCPM-V 2.6 is the latest model in the MiniCPM-V series. The model is built on SigLip-400M and Qwen2-7B 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-V-2_6

  • 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-V-2.6 --size-in-billions 8 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 8 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 8

  • Quantizations: 4-bit

  • Engines: Transformers

  • Model ID: openbmb/MiniCPM-V-2_6-int4

  • 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-V-2.6 --size-in-billions 8 --model-format pytorch --quantization ${quantization}