QvQ-72B-Preview#
Context Length: 32768
Model Name: QvQ-72B-Preview
Languages: en, zh
Abilities: chat, vision
Description: QVQ-72B-Preview is an experimental research model developed by the Qwen team, focusing on enhancing visual reasoning capabilities.
Specifications#
Model Spec 1 (pytorch, 72 Billion)#
Model Format: pytorch
Model Size (in billions): 72
Quantizations: 4-bit, 8-bit, none
Engines: vLLM, Transformers (vLLM only available for quantization none)
Model ID: Qwen/QVQ-72B-Preview
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 QvQ-72B-Preview --size-in-billions 72 --model-format pytorch --quantization ${quantization}
Model Spec 2 (mlx, 72 Billion)#
Model Format: mlx
Model Size (in billions): 72
Quantizations: 3bit, 4bit, 6bit, 8bit, bf16
Engines: Transformers, MLX
Model ID: mlx-community/QVQ-72B-Preview-{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 QvQ-72B-Preview --size-in-billions 72 --model-format mlx --quantization ${quantization}