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

Qwen3.8 27B Test 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 Test and how large is it?

Qwen3.8 27B Test is developed by vvsotnikov, 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 Test?

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

Qwen3.8 27B Test by vvsotnikov — VRAM 55.6GB

Name: Qwen3.8 27B Test
Author: vvsotnikov

Qwen3.8 27B Test is an open-source language model by vvsotnikov. Features: 27b LLM, VRAM: 55.6GB, License: apache-2.0, LLM Explorer Score: 0.27.

Base model:merge:qwen/qwen3.6-... Base model:merge:qwen/qwen3.8-... Base model:qwen/qwen3.6-27b Base model:qwen/qwen3.8-27b Conversational Endpoints compatible Image-text-to-text Linear-merge Merge Qwen3 5 Region:us Safetensors Sharded Tensorflow

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

Qwen3.8 27B Test Parameters and Internals

LLM Name	Qwen3.8 27B Test
Repository 🤗	https://huggingface.co/vvsotnikov/Qwen3.8-27B-test
Base Model(s)	Qwen/Qwen3.6-27B Qwen/Qwen3.8-27B Qwen/Qwen3.6-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	55.6 GB
Updated	2026-09-10
Maintainer	vvsotnikov
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 Test 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 Test

Best Alternatives	Context / RAM	Downloads	Likes
Agens Pilot	1024K / 54.7 GB	117	1
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Cortex Mini 1 Preview	0K / 55.6 GB	120	2

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