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}

Model Spec 7 (pytorch, 32 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 32

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-32B-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 32 --model-format pytorch --quantization ${quantization}

Model Spec 8 (fp8, 32 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 32

  • Quantizations: fp8

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-32B-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 32 --model-format fp8 --quantization ${quantization}

Model Spec 9 (awq, 32 Billion)#

  • Model Format: awq

  • Model Size (in billions): 32

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: QuantTrio/Qwen3-VL-32B-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 32 --model-format awq --quantization ${quantization}

Model Spec 10 (pytorch, 8 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 8

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-8B-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 8 --model-format pytorch --quantization ${quantization}

Model Spec 11 (fp8, 8 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 8

  • Quantizations: fp8

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-8B-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 8 --model-format fp8 --quantization ${quantization}

Model Spec 12 (awq, 8 Billion)#

  • Model Format: awq

  • Model Size (in billions): 8

  • Quantizations: 4bit, 8bit

  • Engines: vLLM, Transformers

  • Model ID: cpatonn/Qwen3-VL-8B-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 8 --model-format awq --quantization ${quantization}

Model Spec 13 (pytorch, 4 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 4

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-4B-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 4 --model-format pytorch --quantization ${quantization}

Model Spec 14 (fp8, 4 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 4

  • Quantizations: fp8

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-4B-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 4 --model-format fp8 --quantization ${quantization}

Model Spec 15 (awq, 4 Billion)#

  • Model Format: awq

  • Model Size (in billions): 4

  • Quantizations: 4bit, 8bit

  • Engines: vLLM, Transformers

  • Model ID: cpatonn/Qwen3-VL-4B-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 4 --model-format awq --quantization ${quantization}

Model Spec 16 (pytorch, 2 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 2

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-2B-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 2 --model-format pytorch --quantization ${quantization}

Model Spec 17 (fp8, 2 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 2

  • Quantizations: fp8

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen3-VL-2B-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 2 --model-format fp8 --quantization ${quantization}

Model Spec 18 (mlx, 235 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 235

  • Quantizations: 4bit, 8bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-235B-A22B-Instruct-{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 235 --model-format mlx --quantization ${quantization}

Model Spec 19 (mlx, 30 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 30

  • Quantizations: 4bit, 8bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-30B-A3B-Instruct-{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 mlx --quantization ${quantization}

Model Spec 20 (mlx, 32 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 32

  • Quantizations: 4bit, 8bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-32B-Instruct-{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 32 --model-format mlx --quantization ${quantization}

Model Spec 21 (mlx, 8 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 8

  • Quantizations: 4bit, 8bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-8B-Instruct-{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 8 --model-format mlx --quantization ${quantization}

Model Spec 22 (mlx, 2 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 2

  • Quantizations: 4bit, 8bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-2B-Instruct-{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 2 --model-format mlx --quantization ${quantization}

Model Spec 23 (mlx, 2 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 2

  • Quantizations: bf16

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-2B-Instruct-bf16

  • 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 2 --model-format mlx --quantization ${quantization}

Model Spec 24 (mlx, 4 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 4

  • Quantizations: 3bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-4B-Instruct-3bit

  • 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 4 --model-format mlx --quantization ${quantization}

Model Spec 25 (mlx, 4 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 4

  • Quantizations: 4bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-4B-Instruct-4bit

  • 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 4 --model-format mlx --quantization ${quantization}

Model Spec 26 (mlx, 4 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 4

  • Quantizations: 8bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-4B-Instruct-8bit

  • 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 4 --model-format mlx --quantization ${quantization}

Model Spec 27 (mlx, 4 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 4

  • Quantizations: bf16

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-4B-Instruct-bf16

  • 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 4 --model-format mlx --quantization ${quantization}

Model Spec 28 (mlx, 8 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 8

  • Quantizations: 3bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-8B-Instruct-3bit

  • 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 8 --model-format mlx --quantization ${quantization}

Model Spec 29 (mlx, 8 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 8

  • Quantizations: 5bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-8B-Instruct-5bit

  • 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 8 --model-format mlx --quantization ${quantization}

Model Spec 30 (mlx, 8 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 8

  • Quantizations: bf16

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-8B-Instruct-bf16

  • 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 8 --model-format mlx --quantization ${quantization}

Model Spec 31 (mlx, 30 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 30

  • Quantizations: 3bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-30B-A3B-Instruct-3bit

  • 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 mlx --quantization ${quantization}

Model Spec 32 (mlx, 30 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 30

  • Quantizations: bf16

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-30B-A3B-Instruct-bf16

  • 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 mlx --quantization ${quantization}

Model Spec 33 (mlx, 32 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 32

  • Quantizations: 3bit

  • Engines: MLX

  • Model ID: mlx-community/Qwen3-VL-32B-Instruct-3bit

  • 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 32 --model-format mlx --quantization ${quantization}