What are the hardware requirements for Qwen3.8 27B MXFP4 AutoRound?

Qwen3.8 27B MXFP4 AutoRound requires approximately 20.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B MXFP4 AutoRound and how large is it?

Qwen3.8 27B MXFP4 AutoRound is developed by intel-ai, 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 MXFP4 AutoRound?

Qwen3.8 27B MXFP4 AutoRound is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B MXFP4 AutoRound by intel-ai — VRAM 20.8GB

Name: Qwen3.8 27B MXFP4 AutoRound
Author: intel-ai

Qwen3.8 27B MXFP4 AutoRound is an open-source language model by intel-ai. Features: 27b LLM, VRAM: 20.8GB, License: apache-2.0, LLM Explorer Score: 0.28.

8-bit Auto-round Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Compressed-tensors Conversational Endpoints compatible Image-text-to-text Mixed-precision Mxfp4 Mxfp8 Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/intel-ai/Qwen3.8-27B-MXFP4-AutoRound

Qwen3.8 27B MXFP4 AutoRound Parameters and Internals

LLM Name	Qwen3.8 27B MXFP4 AutoRound
Repository 🤗	https://huggingface.co/intel-ai/Qwen3.8-27B-MXFP4-AutoRound
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	20.8 GB
Updated	2026-10-27
Maintainer	intel-ai
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-4 5.4 GB: 2-of-4 5.4 GB: 3-of-4 4.7 GB: 4-of-4 0.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.19.0
Tokenizer Class	Qwen3_5Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B MXFP4 AutoRound 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 MXFP4 AutoRound

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
Qwen3.6 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
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419

Note: green Score (e.g. "73.2") means that the model is better than intel-ai/Qwen3.8-27B-MXFP4-AutoRound.