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

Qwen3.5 0.8B Swift requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.5 0.8B Swift is developed by glyd, 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 Swift?

Qwen3.5 0.8B Swift 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 Swift by glyd — VRAM 0.5GB

Name: Qwen3.5 0.8B Swift
Author: glyd

Qwen3.5 0.8B Swift is an open-source language model by glyd. Features: 0.8b LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.3.

8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-0.8b Conversational Glyd Lossy Qwen3 5 Region:us Safetensors Swift

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

Qwen3.5 0.8B Swift Parameters and Internals

LLM Name	Qwen3.5 0.8B Swift
Repository 🤗	https://huggingface.co/glyd/Qwen3.5-0.8B-swift
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	0.5 GB
Updated	2026-10-13
Maintainer	glyd
Model Type	qwen3_5
Model Files	0.5 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 0.8B Swift 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 Swift

Best Alternatives	Context / RAM	Downloads	Likes
OvisOCR2	0K / 1.7 GB	251327	486
LightOnOCR 3 0.8B	0K / 1.7 GB	1318	48
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
MinerU2.5 Flash 0.8B	0K / 1.7 GB	23	1
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92
Xiaomi OCR 0	0K / 1.8 GB	933	15
Tev1 0.8B Onnx Webgpu	0K / GB	1336	1
Tev1 0.8B Experimental	0K / 1.8 GB	644	9
Intern Decision 0.8B	0K / 0.2 GB	242	16
OneJev 0.8B	0K / 2.2 GB	1101	2

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