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rzgar/
Qwen3.8-27B-NVFP4-ComfyUI

Name: Qwen3.8-27B-NVFP4-ComfyUI
Availability: InStock

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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

rzgar/Qwen3.8-27B-NVFP4-ComfyUI

Qwen3.8-27B ComfyUI NVFP4

File

Usage

Comparison

rzgar/
Qwen3.8-27B-NVFP4-ComfyUI