Instructions to use wabibito/Onyx-Qwen3VL-2B-S2V-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use wabibito/Onyx-Qwen3VL-2B-S2V-Encoder with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Onyx-Qwen3VL-2B-S2V-Encoder wabibito/Onyx-Qwen3VL-2B-S2V-Encoder
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Onyx · Subject Video MLLM encoder (Qwen3-VL-2B-Thinking, bf16)
The multimodal feature encoder for Onyx's Subject Video (S2V) pipeline on OnyxMac: caption +
reference images → [1, 1024, 2048] hidden-state features that guide the S2V DiT alongside the
umT5 text conditioning. Unmodified Qwen3-VL-2B-Thinking weights in the HF layout; Onyx's own
MLX extractor (S2VFeatureExtractor) loads this directory directly.
model.safetensors— 4.26 GB bf16 (model.visual.*+model.language_model.*).sha256.json— per-file integrity manifest.
License: Apache-2.0 (inherited from the base model).
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Model size
2B params
Tensor type
BF16
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Model tree for wabibito/Onyx-Qwen3VL-2B-S2V-Encoder
Base model
Qwen/Qwen3-VL-2B-Thinking