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

Qwen3.5 0.8B Base requires approximately 1.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.5 0.8B Base 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 Base?

Qwen3.5 0.8B Base 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 Base by unsloth — VRAM 1.7GB

Name: Qwen3.5 0.8B Base
Author: unsloth

Qwen3.5 0.8B Base is an open-source language model by unsloth. Features: 0.8b LLM, VRAM: 1.7GB, License: apache-2.0, LLM Explorer Score: 0.27.

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

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

Qwen3.5 0.8B Base Parameters and Internals

LLM Name	Qwen3.5 0.8B Base
Repository 🤗	https://huggingface.co/unsloth/Qwen3.5-0.8B-Base
Base Model(s)	Qwen/Qwen3.5-0.8B-Base Qwen/Qwen3.5-0.8B-Base
Model Size	0.8b
Required VRAM	1.7 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen3_5
Model Files	1.7 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3.5 0.8B Base 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 Base

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
Qwen3.5 0.8B	0K / 1.8 GB	47663	19
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 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-Base.