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Qwen2-VL-7B-Instruct-AWQ

Qwen2-VL-7B-Instruct-AWQ is an open-source image-text-to-text model available on HuggingFace. Details are sourced from the public model registry.

Last reviewed

Use cases

  • Building image-text-to-text applications
  • Research and experimentation
  • Open-source AI prototyping

Pros

  • Open weights available
  • Community support on HuggingFace

Cons

  • Requires manual evaluation for production use
  • Licensing terms vary — check model card

FAQ

What is Qwen2-VL-7B-Instruct-AWQ used for?

Building image-text-to-text applications. Research and experimentation. Open-source AI prototyping.

Is Qwen2-VL-7B-Instruct-AWQ free to use?

Qwen2-VL-7B-Instruct-AWQ is an open-source model published on HuggingFace. License terms vary by model — check the model card for the specific license.

How do I run Qwen2-VL-7B-Instruct-AWQ locally?

Most HuggingFace models can be loaded with transformers or the appropriate framework library. See the model card for framework-specific instructions and hardware requirements.

Tags

transformerssafetensorsqwen2_vlimage-text-to-textmultimodalconversationalenarxiv:2409.12191arxiv:2308.12966base_model:Qwen/Qwen2-VL-7B-Instructbase_model:quantized:Qwen/Qwen2-VL-7B-Instructlicense:apache-2.0text-generation-inferenceendpoints_compatible4-bitawqdeploy:azureregion:us