qwen2-vl-instruct#

  • Context Length: 32768

  • Model Name: qwen2-vl-instruct

  • Languages: en, zh

  • Abilities: chat, vision

  • Description: Qwen2-VL: To See the World More Clearly.Qwen2-VL is the latest version of the vision language models in the Qwen model familities.

Specifications#

Model Spec 1 (pytorch, 2 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 2

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-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 qwen2-vl-instruct --size-in-billions 2 --model-format pytorch --quantization ${quantization}

Model Spec 2 (gptq, 2 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 2

  • Quantizations: Int8

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-VL-2B-Instruct-GPTQ-Int8

  • 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 qwen2-vl-instruct --size-in-billions 2 --model-format gptq --quantization ${quantization}

Model Spec 3 (gptq, 2 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 2

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-VL-2B-Instruct-GPTQ-Int4

  • 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 qwen2-vl-instruct --size-in-billions 2 --model-format gptq --quantization ${quantization}

Model Spec 4 (awq, 2 Billion)#

  • Model Format: awq

  • Model Size (in billions): 2

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-VL-2B-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 qwen2-vl-instruct --size-in-billions 2 --model-format awq --quantization ${quantization}

Model Spec 5 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-VL-7B-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 qwen2-vl-instruct --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 6 (gptq, 7 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 7

  • Quantizations: Int8

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-VL-7B-Instruct-GPTQ-Int8

  • 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 qwen2-vl-instruct --size-in-billions 7 --model-format gptq --quantization ${quantization}

Model Spec 7 (gptq, 7 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 7

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-VL-7B-Instruct-GPTQ-Int4

  • 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 qwen2-vl-instruct --size-in-billions 7 --model-format gptq --quantization ${quantization}

Model Spec 8 (awq, 7 Billion)#

  • Model Format: awq

  • Model Size (in billions): 7

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-VL-7B-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 qwen2-vl-instruct --size-in-billions 7 --model-format awq --quantization ${quantization}

Model Spec 9 (pytorch, 72 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 72

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-VL-72B-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 qwen2-vl-instruct --size-in-billions 72 --model-format pytorch --quantization ${quantization}

Model Spec 10 (awq, 72 Billion)#

  • Model Format: awq

  • Model Size (in billions): 72

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-VL-72B-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 qwen2-vl-instruct --size-in-billions 72 --model-format awq --quantization ${quantization}

Model Spec 11 (gptq, 72 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 72

  • Quantizations: Int4, Int8

  • Engines: vLLM, Transformers

  • Model ID: Qwen/Qwen2-VL-72B-Instruct-GPTQ-{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 qwen2-vl-instruct --size-in-billions 72 --model-format gptq --quantization ${quantization}