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

Qwen3.5 9B MTP 4bit requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.5 9B MTP 4bit is developed by mlx-community, 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 MTP 4bit?

Qwen3.5 9B MTP 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 MTP 4bit by mlx-community — VRAM 0.1GB

Name: Qwen3.5 9B MTP 4bit
Author: mlx-community

Qwen3.5 9B MTP 4bit is an open-source language model by mlx-community. Features: 9b LLM, VRAM: 0.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-9b Conversational Draft-model En Mlx Mlx-vlm Mtp Quantized Qwen Qwen3.5 Qwen3.5-9b Qwen3 5 mtp Region:us Safetensors Speculative-decoding

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.5-9B-MTP-4bit

Qwen3.5 9B MTP 4bit Parameters and Internals

LLM Name	Qwen3.5 9B MTP 4bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen3.5-9B-MTP-4bit
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	0.1 GB
Updated	2026-07-28
Maintainer	mlx-community
Model Type	qwen3_5_mtp
Model Files	0.1 GB
Supported Languages	en
Quantization Type	4bit
License	apache-2.0
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

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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