Instructions to use MisterNatural/Qwen3.8-9B-Distill-ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use MisterNatural/Qwen3.8-9B-Distill-ComfyUI 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
Qwen3.8-9B-Distill β ComfyUI Models
ComfyUI-adapted versions of empero-ai/Qwen3.8-9B-Distill, optimized for ComfyUI inference.
This repository provides two formats:
- BF16 β Adapted Safetensors weights for ComfyUI compatibility.
- W4A8 β 4-bit weight and 8-bit activation quantization, optimized for ComfyUI inference.
Available Formats
| Format | File | VRAM* | Hardware | Notes |
|---|---|---|---|---|
| BF16 | Qwen3.8-9B-Distill-ComfyUI_bf16.safetensors |
~19.3 GB | Any modern GPU | ComfyUI-adapted BF16 weights |
| W4A8 | Qwen3.8-9B-Distill-ComfyUI_w4a8.safetensors |
~10 GB | Compatible kernels | 4-bit weights + 8-bit activations |
*Approximate VRAM requirements depend on the inference configuration, context length, resolution and runtime implementation.
W4A8 is intended to reduce memory requirements while maintaining a good balance between model quality and inference efficiency.
Use BF16 for maximum precision and as a reference for quality comparisons.
License
These models are derived from empero-ai/Qwen3.8-9B-Distill and inherit the applicable license and usage conditions of the original model.
Please refer to the original model card for the complete license terms.
Credits
- empero-ai β Original Qwen3.8-9B-Distill model.
- silveroxides β convert_to_quant quantization toolkit (w4a8 quantization is an open PR for now, see here Hullabalo).
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