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

Qwen3.5 0.8B requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.5 0.8B is developed by unsloth, 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?

Qwen3.5 0.8B 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 by unsloth — VRAM 1.8GB

Name: Qwen3.5 0.8B
Author: unsloth

Qwen3.5 0.8B is an open-source language model by unsloth. Features: 0.8b LLM, VRAM: 1.8GB, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b Conversational Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3.5-0.8B

Qwen3.5 0.8B Parameters and Internals

LLM Name	Qwen3.5 0.8B
Repository 🤗	https://huggingface.co/unsloth/Qwen3.5-0.8B
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	1.8 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen3_5
Model Files	1.8 GB: 1-of-1
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Errors	replace

Rank the Qwen3.5 0.8B 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 Qwen3.5 0.8B

Best Alternatives	Context / RAM	Downloads	Likes
OvisOCR2	0K / 1.7 GB	100334	382
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92
Ai Course Classifier	0K / 1.7 GB	161	1
SingGuard NSFA 0.8B	0K / 2.2 GB	953	5
Qwen3.5 0.8B Manumit V1	0K / 1.7 GB	129	0
Qwen3.5 0.8B Heretic	0K / 1.7 GB	17	2
Qwen3.5 0.8B Base	0K / 1.7 GB	4439	3
Qwen3.5 0.8B Legal Id Sft	0K / 1.8 GB	34	0
...e 4.6 Opus Reasoning Distilled	0K / 1.8 GB	817	10

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3.5-0.8B.