What are the hardware requirements for Qwen3.5 9B Abliterated MLX 4bit?

Qwen3.5 9B Abliterated MLX 4bit requires approximately 5 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 9B Abliterated MLX 4bit and how large is it?

Qwen3.5 9B Abliterated MLX 4bit is developed by lukey03, 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 Qwen3.5 9B Abliterated MLX 4bit?

Qwen3.5 9B Abliterated MLX 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 9B Abliterated MLX 4bit by lukey03 — VRAM 5GB, 256K context

Name: Qwen3.5 9B Abliterated MLX 4bit
Author: lukey03

Qwen3.5 9B Abliterated MLX 4bit is an open-source language model by lukey03. Features: 9b LLM, VRAM: 5GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.25.

Arxiv:2406.11717 4-bit 4bit Abliterated Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-9b Conversational En Mlx Quantized Qwen Qwen3.5 Qwen3 5 text Region:us Safetensors Uncensored

Model Card on HF 🤗: https://huggingface.co/lukey03/Qwen3.5-9B-abliterated-MLX-4bit

Qwen3.5 9B Abliterated MLX 4bit Parameters and Internals

LLM Name	Qwen3.5 9B Abliterated MLX 4bit
Repository 🤗	https://huggingface.co/lukey03/Qwen3.5-9B-abliterated-MLX-4bit
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	5 GB
Updated	2026-06-12
Maintainer	lukey03
Model Type	qwen3_5_text
Model Files	5.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.5 9B Abliterated MLX 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 Qwen3.5 9B Abliterated MLX 4bit

Model	Likes	Downloads	VRAM
Qwen3.5 9B Abliterated DFlash	0	492	2 GB

Best Alternatives to Qwen3.5 9B Abliterated MLX 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 Text 9B Bnb 4bit	256K / 7.6 GB	1100	4
Tmax 9B MLX 8bit	0K / 9.5 GB	79	1
Tmax 9B MLX 4bit	0K / 5 GB	45	1
...thos 9B V2 Heretic Abliterated	1024K / 17.9 GB	80	3
Le Gros Chaton	256K / 17.9 GB	235	1
NeoHorse 1 9B	256K / 18 GB	1250	196
Nyx RP 9B Instruct 2608 V1	256K / 18.4 GB	3167	5
ViAble 1.7 9B	256K / 17.9 GB	1118	3
FlashModel Qwen3.5 9B	256K / 17.9 GB	325	0
Ornith 1.0 9B NVFP4 AWQ	256K / 8 GB	3779	3

Note: green Score (e.g. "73.2") means that the model is better than lukey03/Qwen3.5-9B-abliterated-MLX-4bit.