What are the hardware requirements for Qwen3.8 27B NVFP4 ComfyUI?

Qwen3.8 27B NVFP4 ComfyUI requires approximately 16 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B NVFP4 ComfyUI and how large is it?

Qwen3.8 27B NVFP4 ComfyUI is developed by rzgar, a model with 27b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3.8 27B NVFP4 ComfyUI?

Qwen3.8 27B NVFP4 ComfyUI is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B NVFP4 ComfyUI by rzgar — VRAM 16GB

Name: Qwen3.8 27B NVFP4 ComfyUI
Author: rzgar

Qwen3.8 27B NVFP4 ComfyUI is an open-source language model by rzgar. Features: 27b LLM, VRAM: 16GB, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Endpoints compatible Image-text-to-text Qwen Qwen3.8-27b Qwen3 5 Region:us

Model Card on HF 🤗: https://huggingface.co/rzgar/Qwen3.8-27B-NVFP4-ComfyUI

Qwen3.8 27B NVFP4 ComfyUI Parameters and Internals

LLM Name	Qwen3.8 27B NVFP4 ComfyUI
Repository 🤗	https://huggingface.co/rzgar/Qwen3.8-27B-NVFP4-ComfyUI
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	16 GB
Updated	2026-08-17
Maintainer	rzgar
Model Type	qwen3_5
Model Files	16.0 GB 22.6 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Transformers Version	5.14.1

Rank the Qwen3.8 27B NVFP4 ComfyUI capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Qwen3.8 27B NVFP4 ComfyUI

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Huihui Qwen3.8 27B Abliterated	0K / 55.6 GB	1485	76
...n3.8 27B MTPLX Optimized Speed	0K / 19.6 GB	6989	50
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.5 27B	0K / 55.2 GB	8115	16

Note: green Score (e.g. "73.2") means that the model is better than rzgar/Qwen3.8-27B-NVFP4-ComfyUI.