Instructions to use diffusers/qwen3-vl-8b-instruct-lm-head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusers/qwen3-vl-8b-instruct-lm-head with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("diffusers/qwen3-vl-8b-instruct-lm-head", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| license: apache-2.0 | |
| base_model: Qwen/Qwen3-VL-8B-Instruct | |
| # Qwen3-VL-8B-Instruct — LM head | |
| The language-model head (`lm_head.weight`) of `Qwen/Qwen3-VL-8B-Instruct`, packaged on its own so a head-less Qwen3-VL feature encoder can be made generative again without loading a second full model — attach this head to the existing encoder body and only this tensor is added to memory. | |