Instructions to use nomadoor/Qwen3.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use nomadoor/Qwen3.5 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Qwen3.5 (quantized)
Quantized versions of text_encoders/qwen3.5_4b_bf16.safetensors from Comfy-Org/Qwen3.5. Nothing else is changed.
| File | Format |
|---|---|
qwen3.5_4b_int8_convrot |
int8 ConvRot |
qwen3.5_4b_fp8_scaled |
fp8 e4m3fn |
The int8 ConvRot file is probably the better choice: it stays closer to bf16.
Only the language-model linear layers are quantized, in ComfyUI's comfy_quant format (int8: ConvRot group 256 with per-row scales; fp8: per-tensor scale). Embeddings, norms, the vision encoder and the MTP head stay bf16.
Put the file in ComfyUI/models/text_encoders.
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