What are the hardware requirements for Qwen3Guard Gen 0.6B?

Qwen3Guard Gen 0.6B requires approximately 1.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3Guard Gen 0.6B and how large is it?

Qwen3Guard Gen 0.6B is developed by Qwen, a model with 0.6b 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 Qwen3Guard Gen 0.6B?

Qwen3Guard Gen 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3Guard Gen 0.6B by Qwen — VRAM 1.5GB, 32K context

Name: Qwen3Guard Gen 0.6B
Author: Qwen

Qwen3Guard Gen 0.6B is an open-source language model by Qwen. Features: 0.6b LLM, VRAM: 1.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.29.

Arxiv:2510.14276 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Conversational Deploy:azure Endpoints compatible Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3Guard-Gen-0.6B

Qwen3Guard Gen 0.6B Parameters and Internals

LLM Name	Qwen3Guard Gen 0.6B
Repository 🤗	https://huggingface.co/Qwen/Qwen3Guard-Gen-0.6B
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.5 GB
Updated	2026-07-27
Maintainer	Qwen
Model Type	qwen3
Model Files	1.5 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3Guard Gen 0.6B 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

Quantized Models of the Qwen3Guard Gen 0.6B

Model	Likes	Downloads	VRAM
Qwen3Guard 0.6B Q4 1 NPU2	1	281	0 GB

Best Alternatives to Qwen3Guard Gen 0.6B

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
RGOO Qwen3 0.6B	40K / GB	281	2
RGOO Qwen3 0.6B	40K / GB	334	1
Qwen3 0.6B Emoji Gif	40K / 1.2 GB	380	1
Creo Classify 0.6B	40K / 1.2 GB	327	1
Qwen3 0.6B Malevolent	40K / 1.2 GB	170	1
Qwen3 0.6B	40K / 1.5 GB	1364597	1
Qwen3 0.6B RSI Iter1	40K / 1.2 GB	289	2
Qwen3 0.6B PII Distillops	40K / 1.2 GB	174	1

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3Guard-Gen-0.6B.