What are the hardware requirements for Qwen3Guard 0.6B Q4 1 NPU2?

Qwen3Guard 0.6B Q4 1 NPU2 requires approximately 0.5 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3Guard 0.6B Q4 1 NPU2 and how large is it?

Qwen3Guard 0.6B Q4 1 NPU2 is developed by nova-shadowtail, 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 0.6B Q4 1 NPU2?

Qwen3Guard 0.6B Q4 1 NPU2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3Guard 0.6B Q4 1 NPU2 by nova-shadowtail — VRAM 0.5GB, 40K context

Name: Qwen3Guard 0.6B Q4 1 NPU2
Author: nova-shadowtail

Qwen3Guard 0.6B Q4 1 NPU2 is an open-source language model by nova-shadowtail. Features: 0.6b LLM, VRAM: 0.5GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

Arxiv:2510.14276 Amd Base model:quantized:qwen/qwen... Base model:qwen/qwen3guard-gen... Conversational En Endpoints compatible Gguf Moderation Npu Q4 Q4 1 Quantized Qwen Qwen3 Qwen3guard Region:us Ryzen

Model Card on HF 🤗: https://huggingface.co/nova-shadowtail/Qwen3Guard-0.6B-Q4_1-NPU2

Qwen3Guard 0.6B Q4 1 NPU2 Parameters and Internals

LLM Name	Qwen3Guard 0.6B Q4 1 NPU2
Repository 🤗	https://huggingface.co/nova-shadowtail/Qwen3Guard-0.6B-Q4_1-NPU2
Base Model(s)	Qwen/Qwen3Guard-Gen-0.6B Qwen/Qwen3Guard-Gen-0.6B
Model Size	0.6b
Required VRAM	0.5 GB
Updated	2026-10-15
Maintainer	nova-shadowtail
Model Type	qwen3
Model Files	0.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_1
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3Guard 0.6B Q4 1 NPU2 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 Qwen3Guard 0.6B Q4 1 NPU2

Best Alternatives	Context / RAM	Downloads	Likes
RIFA CODE 0.6B	40K / 0.3 GB	1981	0
Qwen3 0.6B GGUF	40K / 0.2 GB	86549	139
Osmosis Structure 0.6B	40K / 0.4 GB	2281	416
...wanda Tts 0.6B Full Finetuning	40K / 0.4 GB	88	0
Qwen3 0.6B GGUF	40K / 0.3 GB	451	8
Agent 0.6B	125K / 1.2 GB	14	0
Fizik 0.6B Preview	40K / 1.2 GB	9	0
Elly Qwen3 0.6B MLX 4bit	40K / 0.4 GB	220	2
Qwen3 0.6B Unsloth Bnb 4bit	40K / 0.6 GB	146920	25
Qwen3 0.6B 4bit	40K / 0.3 GB	50315	14

Note: green Score (e.g. "73.2") means that the model is better than nova-shadowtail/Qwen3Guard-0.6B-Q4_1-NPU2.