internvl-chat#

  • Context Length: 32768

  • Model Name: internvl-chat

  • Languages: en, zh

  • Abilities: chat, vision

  • Description: InternVL 1.5 is an open-source multimodal large language model (MLLM) to bridge the capability gap between open-source and proprietary commercial models in multimodal understanding.

Specifications#

Model Spec 1 (pytorch, 2 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 2

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: OpenGVLab/Mini-InternVL-Chat-2B-V1-5

  • Model Hubs: Hugging Face

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 internvl-chat --size-in-billions 2 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 4 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 4

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: OpenGVLab/Mini-InternVL-Chat-4B-V1-5

  • Model Hubs: Hugging Face

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 internvl-chat --size-in-billions 4 --model-format pytorch --quantization ${quantization}

Model Spec 3 (pytorch, 26 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 26

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: OpenGVLab/InternVL-Chat-V1-5

  • 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 internvl-chat --size-in-billions 26 --model-format pytorch --quantization ${quantization}