What are the hardware requirements for Qwen3.5 0.8B 8bit?

Qwen3.5 0.8B 8bit requires approximately 1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 0.8B 8bit and how large is it?

Qwen3.5 0.8B 8bit is developed by mlx-community, a model with 0.8b 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 0.8B 8bit?

Qwen3.5 0.8B 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 0.8B 8bit by mlx-community — VRAM 1GB

Name: Qwen3.5 0.8B 8bit
Author: mlx-community

Qwen3.5 0.8B 8bit is an open-source language model by mlx-community. Features: 0.8b LLM, VRAM: 1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.26.

8-bit 8bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-0.8b-b... Conversational Endpoints compatible Image-text-to-text Mlx Quantized Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.5-0.8B-8bit

Qwen3.5 0.8B 8bit Parameters and Internals

LLM Name	Qwen3.5 0.8B 8bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen3.5-0.8B-8bit
Base Model(s)	Qwen/Qwen3.5-0.8B-Base Qwen/Qwen3.5-0.8B-Base
Model Size	0.8b
Required VRAM	1 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen3_5
Model Files	1.0 GB
Quantization Type	8bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 0.8B 8bit 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

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Loopl 0.8B 4bit	0K / 0.6 GB	146	1
Qwen3.5 0.8B MLX 4bit	0K / 0.6 GB	5113	5
Mavery Lehrling 0.8B MLX 4bit	0K / 0.4 GB	77	1
Qwen3.5 0.8B 4bit	0K / 0.6 GB	2549	3
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Chartreader 0.8B OptiQ 4bit	0K / 0.7 GB	105	2
... 0.8B Weight Space Programming	0K / 1.8 GB	1297	90
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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3.5-0.8B-8bit.