Qwen3-VL-Instruct#

  • Context Length: 262144

  • Model Name: Qwen3-VL-Instruct

  • Languages: en, zh

  • Abilities: chat, vision, tools

  • Description: Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

Specifications#

Model Spec 1 (pytorch, 235 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 235

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-235B-A22B-Instruct

  • 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 Qwen3-VL-Instruct --size-in-billions 235 --model-format pytorch --quantization ${quantization}

Model Spec 2 (fp8, 235 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 235

  • Quantizations: fp8

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-235B-A22B-Instruct-FP8

  • 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 Qwen3-VL-Instruct --size-in-billions 235 --model-format fp8 --quantization ${quantization}

Model Spec 3 (awq, 235 Billion)#

  • Model Format: awq

  • Model Size (in billions): 235

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: QuantTrio/Qwen3-VL-235B-A22B-Instruct-AWQ

  • 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 Qwen3-VL-Instruct --size-in-billions 235 --model-format awq --quantization ${quantization}

Model Spec 4 (pytorch, 30 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 30

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-30B-A3B-Instruct

  • 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 Qwen3-VL-Instruct --size-in-billions 30 --model-format pytorch --quantization ${quantization}

Model Spec 5 (fp8, 30 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 30

  • Quantizations: fp8

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-30B-A3B-Instruct-FP8

  • 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 Qwen3-VL-Instruct --size-in-billions 30 --model-format fp8 --quantization ${quantization}

Model Spec 6 (awq, 30 Billion)#

  • Model Format: awq

  • Model Size (in billions): 30

  • Quantizations: 4bit, 8bit

  • Engines: vLLM, Transformers

  • Model ID: cpatonn/Qwen3-VL-30B-A3B-Instruct-AWQ-{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 Qwen3-VL-Instruct --size-in-billions 30 --model-format awq --quantization ${quantization}