llama-3.2-vision#

  • Context Length: 131072

  • Model Name: llama-3.2-vision

  • Languages: en, de, fr, it, pt, hi, es, th

  • Abilities: generate, vision

  • Description: The Llama 3.2-Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image…

Specifications#

Model Spec 1 (pytorch, 11 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 11

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: meta-llama/Meta-Llama-3.2-11B-Vision

  • 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 llama-3.2-vision --size-in-billions 11 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 90 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 90

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: meta-llama/Meta-Llama-3.2-90B-Vision

  • 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 llama-3.2-vision --size-in-billions 90 --model-format pytorch --quantization ${quantization}