What are the hardware requirements for Qwopus3.5 27B V3?

Qwopus3.5 27B V3 requires approximately 54.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwopus3.5 27B V3 and how large is it?

Qwopus3.5 27B V3 is developed by Jackrong, 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 Qwopus3.5 27B V3?

Qwopus3.5 27B V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwopus3.5 27B V3 by Jackrong — VRAM 54.7GB

Name: Qwopus3.5 27B V3
Author: Jackrong

Qwopus3.5 27B V3 is an open-source language model by Jackrong. Features: 27b LLM, VRAM: 54.7GB, License: apache-2.0, LLM Explorer Score: 0.29.

Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwopus3.5-27B-v3

Qwopus3.5 27B V3 Parameters and Internals

LLM Name	Qwopus3.5 27B V3
Repository 🤗	https://huggingface.co/Jackrong/Qwopus3.5-27B-v3
Model Name	unsloth/Qwen3.5-27B
Base Model(s)	unsloth/Qwen3.5-27B unsloth/Qwen3.5-27B
Model Size	27b
Required VRAM	54.7 GB
Updated	2026-07-24
Maintainer	Jackrong
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-12 4.8 GB: 2-of-12 5.0 GB: 3-of-12 4.9 GB: 4-of-12 5.0 GB: 5-of-12 4.9 GB: 6-of-12 4.9 GB: 7-of-12 5.0 GB: 8-of-12 5.0 GB: 9-of-12 4.9 GB: 10-of-12 5.0 GB: 11-of-12 2.8 GB: 12-of-12
Supported Languages	en zh ko
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwopus3.5 27B V3 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 Qwopus3.5 27B V3

Model	Likes	Downloads	VRAM
Qwopus3.5 27B V3 PolarQuant Q5	8	389	16 GB
...s3.5 27B V3 PolarQuant V7 GPTQ	3	302	19 GB
MLX Qwopus3.5 27B V3 6bit	3	141	21 GB
Qwopus3.5 27B V3 HLWQ Q5	18	17	16 GB
Qwopus3.5 27B V3 HLWQ V7 GPTQ	6	33	19 GB
Qwopus3.5 27B V3 4bit	1	23	16 GB

Best Alternatives to Qwopus3.5 27B V3

Best Alternatives	Context / RAM	Downloads	Likes
Agens Pilot	1024K / 54.7 GB	57	1
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.5 27B	0K / 55.2 GB	2536294	1028

Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwopus3.5-27B-v3.