cogvlm2-video-llama3-chat#

  • Context Length: 8192

  • Model Name: cogvlm2-video-llama3-chat

  • Languages: en, zh

  • Abilities: chat, vision

  • Description: CogVLM2-Video achieves state-of-the-art performance on multiple video question answering tasks.

Specifications#

Model Spec 1 (pytorch, 12 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 12

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: THUDM/cogvlm2-video-llama3-chat

  • 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 cogvlm2-video-llama3-chat --size-in-billions 12 --model-format pytorch --quantization ${quantization}