Qwen3-VL-Thinking#
Context Length: 262144
Model Name: Qwen3-VL-Thinking
Languages: en, zh
Abilities: chat, vision, reasoning, 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-Thinking
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-Thinking --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-Thinking-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-Thinking --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-Thinking-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-Thinking --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-Thinking
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-Thinking --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-Thinking-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-Thinking --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-Thinking-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-Thinking --size-in-billions 30 --model-format awq --quantization ${quantization}
Model Spec 7 (mlx, 235 Billion)#
Model Format: mlx
Model Size (in billions): 235
Quantizations: 4bit, 8bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-235B-A22B-Thinking-{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-Thinking --size-in-billions 235 --model-format mlx --quantization ${quantization}
Model Spec 8 (mlx, 30 Billion)#
Model Format: mlx
Model Size (in billions): 30
Quantizations: 4bit, 8bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-30B-A3B-Thinking-{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-Thinking --size-in-billions 30 --model-format mlx --quantization ${quantization}
Model Spec 9 (mlx, 2 Billion)#
Model Format: mlx
Model Size (in billions): 2
Quantizations: 4bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-2B-Thinking-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-Thinking --size-in-billions 2 --model-format mlx --quantization ${quantization}
Model Spec 10 (mlx, 2 Billion)#
Model Format: mlx
Model Size (in billions): 2
Quantizations: 8bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-2B-Thinking-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-Thinking --size-in-billions 2 --model-format mlx --quantization ${quantization}
Model Spec 11 (mlx, 2 Billion)#
Model Format: mlx
Model Size (in billions): 2
Quantizations: bf16
Engines: MLX
Model ID: mlx-community/Qwen3-VL-2B-Thinking-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-Thinking --size-in-billions 2 --model-format mlx --quantization ${quantization}
Model Spec 12 (mlx, 4 Billion)#
Model Format: mlx
Model Size (in billions): 4
Quantizations: 3bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-4B-Thinking-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-Thinking --size-in-billions 4 --model-format mlx --quantization ${quantization}
Model Spec 13 (mlx, 4 Billion)#
Model Format: mlx
Model Size (in billions): 4
Quantizations: 4bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-4B-Thinking-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-Thinking --size-in-billions 4 --model-format mlx --quantization ${quantization}
Model Spec 14 (mlx, 4 Billion)#
Model Format: mlx
Model Size (in billions): 4
Quantizations: 8bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-4B-Thinking-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-Thinking --size-in-billions 4 --model-format mlx --quantization ${quantization}
Model Spec 15 (mlx, 4 Billion)#
Model Format: mlx
Model Size (in billions): 4
Quantizations: bf16
Engines: MLX
Model ID: mlx-community/Qwen3-VL-4B-Thinking-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-Thinking --size-in-billions 4 --model-format mlx --quantization ${quantization}
Model Spec 16 (mlx, 8 Billion)#
Model Format: mlx
Model Size (in billions): 8
Quantizations: 3bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-8B-Thinking-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-Thinking --size-in-billions 8 --model-format mlx --quantization ${quantization}
Model Spec 17 (mlx, 8 Billion)#
Model Format: mlx
Model Size (in billions): 8
Quantizations: 4bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-8B-Thinking-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-Thinking --size-in-billions 8 --model-format mlx --quantization ${quantization}
Model Spec 18 (mlx, 8 Billion)#
Model Format: mlx
Model Size (in billions): 8
Quantizations: 5bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-8B-Thinking-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-Thinking --size-in-billions 8 --model-format mlx --quantization ${quantization}
Model Spec 19 (mlx, 8 Billion)#
Model Format: mlx
Model Size (in billions): 8
Quantizations: 8bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-8B-Thinking-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-Thinking --size-in-billions 8 --model-format mlx --quantization ${quantization}
Model Spec 20 (mlx, 8 Billion)#
Model Format: mlx
Model Size (in billions): 8
Quantizations: bf16
Engines: MLX
Model ID: mlx-community/Qwen3-VL-8B-Thinking-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-Thinking --size-in-billions 8 --model-format mlx --quantization ${quantization}
Model Spec 21 (mlx, 30 Billion)#
Model Format: mlx
Model Size (in billions): 30
Quantizations: 3bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-30B-A3B-Thinking-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-Thinking --size-in-billions 30 --model-format mlx --quantization ${quantization}
Model Spec 22 (mlx, 30 Billion)#
Model Format: mlx
Model Size (in billions): 30
Quantizations: bf16
Engines: MLX
Model ID: mlx-community/Qwen3-VL-30B-A3B-Thinking-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-Thinking --size-in-billions 30 --model-format mlx --quantization ${quantization}
Model Spec 23 (mlx, 235 Billion)#
Model Format: mlx
Model Size (in billions): 235
Quantizations: 3bit
Engines: MLX
Model ID: mlx-community/Qwen3-VL-235B-A22B-Thinking-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-Thinking --size-in-billions 235 --model-format mlx --quantization ${quantization}