What are the hardware requirements for Qwopus3.6 27B Fusion Mxfp8 Vision Mtplx?

Qwopus3.6 27B Fusion Mxfp8 Vision Mtplx requires approximately 28.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwopus3.6 27B Fusion Mxfp8 Vision Mtplx and how large is it?

Qwopus3.6 27B Fusion Mxfp8 Vision Mtplx is developed by Shiftedx, 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 Mxfp8 Vision Mtplx?

Qwopus3.6 27B Fusion Mxfp8 Vision Mtplx 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 Mxfp8 Vision Mtplx by Shiftedx — VRAM 28.4GB

Name: Qwopus3.6 27B Fusion Mxfp8 Vision Mtplx
Author: Shiftedx

Qwopus3.6 27B Fusion Mxfp8 Vision Mtplx is an open-source language model by Shiftedx. Features: 27b LLM, VRAM: 28.4GB, License: other, LLM Explorer Score: 0.25.

8-bit Base model:kylehessling1/qwopu... Base model:quantized:kylehessl... Conversational Experimental Image-text-to-text Mlx Mlx-vlm Mtplx Multi-token-prediction Mxfp8 Qwen3.5 Qwen3 5 Region:us Safetensors Sharded Speculative-decoding Tensorflow Vision

Model Card on HF 🤗: https://huggingface.co/Shiftedx/qwopus3.6-27b-fusion-mxfp8-vision-mtplx

Qwopus3.6 27B Fusion Mxfp8 Vision Mtplx Parameters and Internals

LLM Name	Qwopus3.6 27B Fusion Mxfp8 Vision Mtplx
Repository 🤗	https://huggingface.co/Shiftedx/qwopus3.6-27b-fusion-mxfp8-vision-mtplx
Model Name	Unsloth/Qwen3.6-27B
Base Model(s)	KyleHessling1/Qwopus3.6-27B-Fusion-BF16 KyleHessling1/Qwopus3.6-27B-Fusion-BF16
Model Size	27b
Required VRAM	28.4 GB
Updated	2026-08-09
Maintainer	Shiftedx
Model Type	qwen3_5
Model Files	2.6 GB: 1-of-11 2.7 GB: 2-of-11 2.6 GB: 3-of-11 2.6 GB: 4-of-11 2.6 GB: 5-of-11 2.6 GB: 6-of-11 2.6 GB: 7-of-11 2.6 GB: 8-of-11 2.6 GB: 9-of-11 2.6 GB: 10-of-11 1.4 GB: 11-of-11 0.9 GB: 1-of-1 0.8 GB
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 Mxfp8 Vision Mtplx 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 Mxfp8 Vision Mtplx

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	87	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	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 Shiftedx/qwopus3.6-27b-fusion-mxfp8-vision-mtplx.