What are the hardware requirements for Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit?

Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit requires approximately 3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit and how large is it?

Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit is developed by mlx-community, a model with 4b 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 4B Claude 4.6 Opus Abliterated 4bit?

Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit by mlx-community — VRAM 3GB

Name: Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit
Author: mlx-community

Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit is an open-source language model by mlx-community. Features: 4b LLM, VRAM: 3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.24.

4-bit 4bit Abliterated Base model:jackrong/qwen3.5-4b... Base model:quantized:jackrong/... Chain-of-thought Claude Conversational Dense Endpoints compatible Image-text-to-text Mlx Quantized Qwen3 5 Reasoning Region:us Safetensors Uncensored

Model Card on HF 🤗: https://huggingface.co/mlx-community/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated-4bit

Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit Parameters and Internals

LLM Name	Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit
Repository 🤗	https://huggingface.co/mlx-community/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated-4bit
Model Name	unsloth/Qwen3.5-4B
Base Model(s)	Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled
Model Size	4b
Required VRAM	3 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen3_5
Model Files	3.0 GB
Quantization Type	4bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Errors	replace

Rank the Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit 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 4B Claude 4.6 Opus Abliterated 4bit

Model	Likes	Downloads	VRAM
Qwen3.5 4B 4bit Abliterated	1	85	3 GB

Best Alternatives to Huihui Qwen3.5 4B Claude 4.6 Opus Abliterated 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Underdog Woof 4B 1.1	0K / 2.4 GB	815	16
Qwen3.5 4B MLX 4bit	0K / 3 GB	28023	32
Qwen3.5 4B 4bit Abliterated	0K / 3 GB	85	1
Qwen3.5 4B OptiQ 4bit	0K / 0.1 GB	7823	23
Fara1.5 4B OptiQ 4bit	0K / 3.5 GB	215	2
Qwen3.5 4B OQ4e FP16 MTP MLX	0K / 3.3 GB	42	1
...aude 4.6 Opus Abliterated 6bit	0K / 4.1 GB	188	3
Qwen3.5 4B Mlx 4bit	0K / 2.4 GB	16	3
Qwopus3.5 4B V3 4bit	0K / 3 GB	35	1
Qwen3.5 4B	0K / 9.3 GB	6575502	801

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated-4bit.