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

Qwen3.8 27B requires approximately 55.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.8 27B is developed by Qwen, 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?

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

Qwen3.8 27B by Qwen — VRAM 55.6GB

Name: Qwen3.8 27B
Author: Qwen

Qwen3.8 27B is an open-source language model by Qwen. Features: 27b LLM, VRAM: 55.6GB, License: apache-2.0, LLM Explorer Score: 0.47.

Conversational Endpoints compatible Eval-results Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow

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

Qwen3.8 27B Parameters and Internals

LLM Name	Qwen3.8 27B
Repository 🤗	https://huggingface.co/Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	55.6 GB
Updated	2026-08-14
Maintainer	Qwen
Model Type	qwen3_5
Model Files	4.0 GB: 1-of-18 3.0 GB: 2-of-18 2.5 GB: 3-of-18 4.0 GB: 4-of-18 2.1 GB: 5-of-18 4.0 GB: 6-of-18 2.1 GB: 7-of-18 4.0 GB: 8-of-18 2.1 GB: 9-of-18 4.0 GB: 10-of-18 2.1 GB: 11-of-18 4.0 GB: 12-of-18 2.1 GB: 13-of-18 4.0 GB: 14-of-18 2.1 GB: 15-of-18 4.0 GB: 16-of-18 2.1 GB: 17-of-18 3.4 GB: 18-of-18
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 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

Quantized Models of the Qwen3.8 27B

Model	Likes	Downloads	VRAM
Qwen3.8 27B OBLITERATED	516	164950	83 GB
Ternary Bonsai 2 27B Mlx 2bit	278	30043	8 GB
Qwen3.8 27B MLX 5bit	2	4675044	19 GB
Qwen3.8 27B GGUF	685	0	0 GB
Qwen3.8 27B AWQ INT4	32	21015	21 GB
Qwen3.8 27B 8bit	33	13892	29 GB
Qwen3.8 27B MLX 8bit	7	24811	29 GB
Qwen3.8 27B MLX 4bit	10	19712	16 GB
Qwen3.8 27B 4bit	27	6055	16 GB
Qwen3.8 27B AWQ W4A16 ASYM	4	13762	0 GB

Best Alternatives to Qwen3.8 27B

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	9513	1835
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419

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