What are the hardware requirements for Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated?

Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated requires approximately 19.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated and how large is it?

Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated is developed by huihui-ai, a model with 9b 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 Qwen3.5 9B Claude 4.6 Opus Abliterated?

Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated by huihui-ai — VRAM 19.3GB

Name: Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated
Author: huihui-ai

Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated is an open-source language model by huihui-ai. Features: 9b LLM, VRAM: 19.3GB, License: apache-2.0, LLM Explorer Score: 0.25.

Abliterated Base model:finetune:jackrong/q... Base model:jackrong/qwen3.5-9b... Chain-of-thought Claude Conversational Dense Endpoints compatible Image-text-to-text Qwen3 5 Reasoning Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/huihui-ai/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated

Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated Parameters and Internals

LLM Name	Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated
Repository 🤗	https://huggingface.co/huihui-ai/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated
Model Name	unsloth/Qwen3.5-9B
Base Model(s)	Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2 Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2
Model Size	9b
Required VRAM	19.3 GB
Updated	2026-08-08
Maintainer	huihui-ai
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-4 5.3 GB: 2-of-4 5.4 GB: 3-of-4 3.3 GB: 4-of-4
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 Huihui Qwen3.5 9B Claude 4.6 Opus 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

Quantized Models of the Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated

Model	Likes	Downloads	VRAM
...aude 4.6 Opus Abliterated 4bit	1	471	18 GB

Best Alternatives to Huihui Qwen3.5 9B Claude 4.6 Opus Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	3663	4
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
LensVLM 9B	0K / 18.8 GB	1840	258
Ornith 1.0 9B	0K / 18.8 GB	942519	551
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
WeMM Embedding 9B	0K / 18.8 GB	2618	105

Note: green Score (e.g. "73.2") means that the model is better than huihui-ai/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated.