What are the hardware requirements for XYZ Aquila Mini OptiQ 4bit?

XYZ Aquila Mini OptiQ 4bit requires approximately 36.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed XYZ Aquila Mini OptiQ 4bit and how large is it?

XYZ Aquila Mini OptiQ 4bit is developed by mlx-community, a model with 34.7b 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 XYZ Aquila Mini OptiQ 4bit?

XYZ Aquila Mini OptiQ 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

XYZ Aquila Mini OptiQ 4bit by mlx-community — VRAM 36.3GB

Name: XYZ Aquila Mini OptiQ 4bit
Author: mlx-community

XYZ Aquila Mini OptiQ 4bit is an open-source language model by mlx-community. Features: 34.7b LLM, VRAM: 36.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.26.

4-bit 4bit Agentic-search Base model:quantized:xyzailab/... Base model:xyzailab/xyz-aquila... Conversational Mixed-precision Mlx Optiq Quantized Qwen3.6 Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/XYZ-Aquila-mini-OptiQ-4bit

XYZ Aquila Mini OptiQ 4bit Parameters and Internals

LLM Name	XYZ Aquila Mini OptiQ 4bit
Repository 🤗	https://huggingface.co/mlx-community/XYZ-Aquila-mini-OptiQ-4bit
Base Model(s)	XYZ Aquila Mini XYZAILab/XYZ-Aquila-mini
Model Size	34.7b
Required VRAM	36.3 GB
Updated	2026-07-27
Maintainer	mlx-community
Model Type	qwen3_5_moe
Model Files	5.2 GB: 1-of-7 5.3 GB: 2-of-7 5.3 GB: 3-of-7 5.3 GB: 4-of-7 5.3 GB: 5-of-7 5.3 GB: 6-of-7 4.6 GB: 7-of-7
Quantization Type	4bit
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the XYZ Aquila Mini OptiQ 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

Best Alternatives to XYZ Aquila Mini OptiQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Agents A1 OptiQ 4bit	0K / 22.2 GB	891	3
...CybersecurityLLM V1.0 Mlx 4Bit	0K / 19.5 GB	686	45
KAT Coder V2.5 Dev OptiQ 4bit	0K / 21.9 GB	114	3
Affine 5dfqbbh8ev Sft	0K / 69.3 GB	388	0
5eqdtdzqle Ckpt1000 M7	0K / 71.7 GB	22	0

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/XYZ-Aquila-mini-OptiQ-4bit.