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

Gliese Qwen3.5 9B Abliterated Caption MLX 4bit requires approximately 5.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Gliese Qwen3.5 9B Abliterated Caption MLX 4bit is developed by LethalDonkey, 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 Gliese Qwen3.5 9B Abliterated Caption MLX 4bit?

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

Gliese Qwen3.5 9B Abliterated Caption MLX 4bit by LethalDonkey — VRAM 5.9GB

Name: Gliese Qwen3.5 9B Abliterated Caption MLX 4bit
Author: LethalDonkey

Gliese Qwen3.5 9B Abliterated Caption MLX 4bit is an open-source language model by LethalDonkey. Features: 9b LLM, VRAM: 5.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.25.

4-bit 4bit Abliterated Apple-silicon Base model:prithivmlmods/glies... Base model:quantized:prithivml... Caption Conversational En Image-captioning Image-text-to-text Mlx Quantized Qwen3 5 Qwen3 vl Region:us Safetensors Sharded Tensorflow Uncensored Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/LethalDonkey/Gliese-Qwen3.5-9B-Abliterated-Caption-MLX-4bit

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

LLM Name	Gliese Qwen3.5 9B Abliterated Caption MLX 4bit
Repository 🤗	https://huggingface.co/LethalDonkey/Gliese-Qwen3.5-9B-Abliterated-Caption-MLX-4bit
Base Model(s)	prithivMLmods/Gliese-Qwen3.5-9B-Abliterated-Caption prithivMLmods/Gliese-Qwen3.5-9B-Abliterated-Caption
Model Size	9b
Required VRAM	5.9 GB
Updated	2026-09-17
Maintainer	LethalDonkey
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-2 0.6 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

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

Model	Likes	Downloads	VRAM
Qwen3.5 9B 4bit Abliterated	1	72	5 GB

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

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	580012	4
Qwen3.5 9B MLX 8bit	0K / 10.4 GB	550497	1
Ornith 1.5 9B MLX 4bit	0K / 5 GB	3043	18
Ornith 1.5 9B MLX 8bit	0K / 9.5 GB	2686	7
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	22827	151
Ornith 1.0 9B 4bit	0K / 5.9 GB	9791	9
Qwen3.5 9B 8bit	0K / 10.4 GB	45652	17
Qwen3.5 9B OptiQ 4bit	0K / 7.1 GB	10136	86
Qwen3.8 9B Mlx 4Bit	0K / 5 GB	529	7
Ornith 1.0 9B OptiQ 4bit	0K / 7.1 GB	1656	8

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