.. _models_llm_qwen2-vl-instruct: ======================================== 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}