What are the hardware requirements for Qwen3.8 27B NVFP4A16?

Qwen3.8 27B NVFP4A16 requires approximately 27.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B NVFP4A16 and how large is it?

Qwen3.8 27B NVFP4A16 is developed by axteam, 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 NVFP4A16?

Qwen3.8 27B NVFP4A16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B NVFP4A16 by axteam — VRAM 27.7GB

Name: Qwen3.8 27B NVFP4A16
Author: axteam

Qwen3.8 27B NVFP4A16 is an open-source language model by axteam. Features: 27b LLM, VRAM: 27.7GB, License: apache-2.0, LLM Explorer Score: 0.3.

8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Compressed-tensors Conversational Endpoints compatible Fp4 Image-text-to-text Multimodal Nvfp4 Quantized Qwen Qwen3 5 Region:us Safetensors Sharded Tensorflow Vllm W4a16

Model Card on HF 🤗: https://huggingface.co/axteam/Qwen3.8-27B-NVFP4A16

Qwen3.8 27B NVFP4A16 Parameters and Internals

LLM Name	Qwen3.8 27B NVFP4A16
Repository 🤗	https://huggingface.co/axteam/Qwen3.8-27B-NVFP4A16
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	27.7 GB
Updated	2026-10-31
Maintainer	axteam
Model Type	qwen3_5
Model Files	20.0 GB: 1-of-2 7.7 GB: 2-of-2 0.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B NVFP4A16 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 NVFP4A16

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	86	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	22043	2237
Qwen3.8 27B NVFP4 DGX SPARK V2	0K / 19.8 GB	11317	113
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B MLX	0K / 16 GB	1411	18

Note: green Score (e.g. "73.2") means that the model is better than axteam/Qwen3.8-27B-NVFP4A16.