What are the hardware requirements for Huihui Qwen3.5 35B A3B Claude 4.6 Opus Abliterated?

Huihui Qwen3.5 35B A3B Claude 4.6 Opus Abliterated requires approximately 72.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Huihui Qwen3.5 35B A3B Claude 4.6 Opus Abliterated and how large is it?

Huihui Qwen3.5 35B A3B Claude 4.6 Opus Abliterated is developed by huihui-ai, a model with 35b 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 35B A3B Claude 4.6 Opus Abliterated?

Huihui Qwen3.5 35B A3B 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 35B A3B Claude 4.6 Opus Abliterated by huihui-ai — VRAM 72.3GB

Name: Huihui Qwen3.5 35B A3B Claude 4.6 Opus Abliterated
Author: huihui-ai

Huihui Qwen3.5 35B A3B Claude 4.6 Opus Abliterated is an open-source language model by huihui-ai. Features: 35b LLM, VRAM: 72.3GB, License: apache-2.0, LLM Explorer Score: 0.24.

Abliterated Base model:finetune:jackrong/q... Base model:jackrong/qwen3.5-35... Chain-of-thought Claude Conversational Dense Endpoints compatible Image-text-to-text Qwen3 5 moe Reasoning Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/huihui-ai/Huihui-Qwen3.5-35B-A3B-Claude-4.6-Opus-abliterated

Huihui Qwen3.5 35B A3B Claude 4.6 Opus Abliterated Parameters and Internals

LLM Name	Huihui Qwen3.5 35B A3B Claude 4.6 Opus Abliterated
Repository 🤗	https://huggingface.co/huihui-ai/Huihui-Qwen3.5-35B-A3B-Claude-4.6-Opus-abliterated
Model Name	qwen/Qwen3.5-35B-A3B
Base Model(s)	Jackrong/Qwen3.5-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled Jackrong/Qwen3.5-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled
Model Size	35b
Required VRAM	72.3 GB
Updated	2026-08-10
Maintainer	huihui-ai
Model Type	qwen3_5_moe
Model Files	5.4 GB: 1-of-14 5.4 GB: 2-of-14 5.4 GB: 3-of-14 5.4 GB: 4-of-14 5.4 GB: 5-of-14 5.4 GB: 6-of-14 5.4 GB: 7-of-14 5.4 GB: 8-of-14 5.3 GB: 9-of-14 5.4 GB: 10-of-14 5.4 GB: 11-of-14 5.4 GB: 12-of-14 5.4 GB: 13-of-14 2.2 GB: 14-of-14
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Huihui Qwen3.5 35B A3B 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 35B A3B Claude 4.6 Opus Abliterated

Model	Likes	Downloads	VRAM
...aude 4.6 Opus Abliterated 6bit	1	79	28 GB

Best Alternatives to Huihui Qwen3.5 35B A3B Claude 4.6 Opus Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
Ornith 1.0 35B	0K / 70.4 GB	3192730	505
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.5 35B A3B	0K / 72.1 GB	1713	201
KAT Coder V2.5 Dev	0K / 69.7 GB	17885	537
Ornith 1.5 35B A3B NVFP4	0K / 23.4 GB	24238	29
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665
Qwen3.6 35B A3B NVFP4 Fast	0K / 23.6 GB	463661	98

Note: green Score (e.g. "73.2") means that the model is better than huihui-ai/Huihui-Qwen3.5-35B-A3B-Claude-4.6-Opus-abliterated.