Ovis2#

  • Context Length: 32768

  • Model Name: Ovis2

  • Languages: en, zh

  • Abilities: chat, vision

  • Description: Ovis (Open VISion) is a novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.

Specifications#

Model Spec 1 (pytorch, 1 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 1

  • Quantizations: none

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-1B

  • 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 Ovis2 --size-in-billions 1 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 2 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 2

  • Quantizations: none

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-2B

  • 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 Ovis2 --size-in-billions 2 --model-format pytorch --quantization ${quantization}

Model Spec 3 (pytorch, 4 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 4

  • Quantizations: none

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-4B

  • 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 Ovis2 --size-in-billions 4 --model-format pytorch --quantization ${quantization}

Model Spec 4 (pytorch, 8 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 8

  • Quantizations: none

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-8B

  • 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 Ovis2 --size-in-billions 8 --model-format pytorch --quantization ${quantization}

Model Spec 5 (pytorch, 16 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 16

  • Quantizations: none

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-16B

  • 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 Ovis2 --size-in-billions 16 --model-format pytorch --quantization ${quantization}

Model Spec 6 (pytorch, 34 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 34

  • Quantizations: none

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-34B

  • 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 Ovis2 --size-in-billions 34 --model-format pytorch --quantization ${quantization}

Model Spec 7 (gptq, 2 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 2

  • Quantizations: Int4

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-2B-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 Ovis2 --size-in-billions 2 --model-format gptq --quantization ${quantization}

Model Spec 8 (gptq, 4 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 4

  • Quantizations: Int4

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-4B-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 Ovis2 --size-in-billions 4 --model-format gptq --quantization ${quantization}

Model Spec 9 (gptq, 8 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 8

  • Quantizations: Int4

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-8B-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 Ovis2 --size-in-billions 8 --model-format gptq --quantization ${quantization}

Model Spec 10 (gptq, 16 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 16

  • Quantizations: Int4

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-16B-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 Ovis2 --size-in-billions 16 --model-format gptq --quantization ${quantization}

Model Spec 11 (gptq, 34 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 34

  • Quantizations: Int4, Int8

  • Engines: Transformers

  • Model ID: AIDC-AI/Ovis2-34B-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 Ovis2 --size-in-billions 34 --model-format gptq --quantization ${quantization}