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

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

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

Huihui Qwen3.8 27B Abliterated is developed by huihui-ai, 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 Huihui Qwen3.8 27B Abliterated?

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

Huihui Qwen3.8 27B Abliterated by huihui-ai — VRAM 55.6GB

Name: Huihui Qwen3.8 27B Abliterated
Author: huihui-ai

Huihui Qwen3.8 27B Abliterated is an open-source language model by huihui-ai. Features: 27b LLM, VRAM: 55.6GB, License: apache-2.0.

Abliterated Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Conversational Endpoints compatible Huihui Image-text-to-text Qwen3 Qwen3 5 Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/huihui-ai/Huihui-Qwen3.8-27B-abliterated

Huihui Qwen3.8 27B Abliterated Parameters and Internals

LLM Name	Huihui Qwen3.8 27B Abliterated
Repository 🤗	https://huggingface.co/huihui-ai/Huihui-Qwen3.8-27B-abliterated
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	55.6 GB
Updated	2026-08-17
Maintainer	huihui-ai
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 Huihui Qwen3.8 27B Abliterated 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 Huihui Qwen3.8 27B Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
...n3.8 27B MTPLX Optimized Speed	0K / 19.6 GB	6989	50
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.5 27B	0K / 55.2 GB	8115	16
Qwen3.8 27B NVFP4	0K / 22 GB	30122	14

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