ComfyUI node update (Sep 17, 2026):
Fix nvfp4 vision-tower crash with image/video input on ComfyUI 0.35.1+:
the vision tower now stays on the full-precision path instead of being switched
to W4A4 nvfp4 matmul (which can't take the float32 vision activations).
Qwen3.8-27B ComfyUI NVFP4
A ComfyUI-native quantized conversion of unsloth/Qwen3.8-27B-NVFP4
Unlike the core node, the custom node doesn’t run for max_length steps and finishes within seconds
File
| File | Download |
|---|---|
Qwen3.8-27B-nvfp4-comfy.safetensors |
Download 22.6 GB |
Qwen3.8-27B-nvfp4-all-comfy.safetensors |
Download 16GB |
Usage
Place the file in ComfyUI/models/text_encoders/ and load it with the LLM/text-encoder loader. Use with the Generate Text node.
Recommended: the "Generate Text (Qwen3.8)" custom node (install ComfyUI-Qwen3.8-Text)
The official Generate Text node for quantized checkpoints, it projects the output through
the embedding table instead of the real lm_head (untied), which produces incoherent text that never stops and runs to max_length.
The custom node formats the prompt with the model's own chat template, uses the correct lm_head weights, and supports image and video inputs typical captions/answers finish in seconds.
Comparison
...-nvfp4-all-comfy |
...-nvfp4-comfy |
|
|---|---|---|
| Size | 16 GB | 22.6 GB |
| MLP | NVFP4 (fp4) | NVFP4 (fp4) |
| Attention / linear-attn / lm_head | NVFP4 (fp4) | FP8 (e4m3) |
| Embeddings | FP8 (per-tensor) | BF16 |
| Vision tower | NVFP4 | BF16 |
| Quality | slightly lower attention precision | fp8 attention, mirrors unsloth's design |