What are the hardware requirements for Qwopus3.6 27B Fusion BF16?

Qwopus3.6 27B Fusion BF16 requires approximately 55.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwopus3.6 27B Fusion BF16 and how large is it?

Qwopus3.6 27B Fusion BF16 is developed by KyleHessling1, 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 Qwopus3.6 27B Fusion BF16?

Qwopus3.6 27B Fusion BF16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwopus3.6 27B Fusion BF16 by KyleHessling1 — VRAM 55.3GB

Name: Qwopus3.6 27B Fusion BF16
Author: KyleHessling1

Qwopus3.6 27B Fusion BF16 is an open-source language model by KyleHessling1. Features: 27b LLM, VRAM: 55.3GB, License: other, LLM Explorer Score: 0.29.

Model Card on HF 🤗: https://huggingface.co/KyleHessling1/Qwopus3.6-27B-Fusion-BF16

Qwopus3.6 27B Fusion BF16 Parameters and Internals

LLM Name	Qwopus3.6 27B Fusion BF16
Repository 🤗	https://huggingface.co/KyleHessling1/Qwopus3.6-27B-Fusion-BF16
Model Name	Unsloth/Qwen3.6-27B
Base Model(s)	Qwen/Qwen3.6-27B Qwen/Qwen3.6-27B
Model Size	27b
Required VRAM	55.3 GB
Updated	2026-08-09
Maintainer	KyleHessling1
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-27 2.5 GB: 2-of-27 2.1 GB: 3-of-27 2.1 GB: 4-of-27 2.0 GB: 5-of-27 2.1 GB: 6-of-27 2.1 GB: 7-of-27 2.1 GB: 8-of-27 2.0 GB: 9-of-27 2.2 GB: 10-of-27 2.1 GB: 11-of-27 2.1 GB: 12-of-27 2.0 GB: 13-of-27 2.1 GB: 14-of-27 2.1 GB: 15-of-27 2.1 GB: 16-of-27 2.0 GB: 17-of-27 2.2 GB: 18-of-27 2.1 GB: 19-of-27 2.1 GB: 20-of-27 2.0 GB: 21-of-27 2.1 GB: 22-of-27 2.1 GB: 23-of-27 2.1 GB: 24-of-27 2.0 GB: 25-of-27 2.0 GB: 26-of-27 0.4 GB: 27-of-27
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwopus3.6 27B Fusion BF16 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 Qwopus3.6 27B Fusion BF16

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	81	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	13579	2004
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
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416

Note: green Score (e.g. "73.2") means that the model is better than KyleHessling1/Qwopus3.6-27B-Fusion-BF16.